Oxford Paper

authors: “Sameer Nair-Desai, Rashad Ahmed, Weining Xin” date: “6/15/2020” output: html_document: default pdf_document: default word_document: default —

If you do not wish to run the code, please see the final output (graphs and datasets) provided in the Github repository. Make sure to check the relevant README files for the contents of the folder.

Installing the relevant packages. install.packages(“sf”) install.packages(“readr”) install.packages(“tmap”) install.packages(“leaflet”) install.packages(“mapview”) install.packages(“ggplot2”) install.packages(“tidyverse”) install.packages(“rlang”) install.packages(“reshape”) install.packages(“rgdal”) install.packages(“lubridate”) install.packages(“plotly”) install.packages(“patchwork”) install.packages(“ggforce”) install.packages(“gridExtra”) install.packages(“htmltools”) install.packages(“data.table”) install.packages(“webshot”) webshot::install_phantomjs() install.packages(“runner”) install.packages(“zoo”) install.packages(“devtools”) devtools::install_version(“latticeExtra”, version=“0.6-28”) install.packages(“Hmisc”) install.packages(“DataCombine”) install.packages(“fastDummies”) install.packages(“heatmaply”) install.packages(“glmnet”) install.packages(“caret”) install.packages(“summarytools”) install.packages(“remote”) remotes::install_github(‘rapporter/pander’) install.packages(“mlbench”) install.packages(“psych”) install.packages(“lmtest”) install.packages(“quantmod”) install.packages(“corrplot”) install.packages(“fBasics”) install.packages(“stargazer”) install.packages(“tseries”) install.packages(“vars”) install.packages(“gghighlight”)

# Setting our initial libraries. In subsequent rounds of analysis, we will be integrating new libraries (we do not do so here to avoid conflicts between packages).
library(sf)

## Linking to GEOS 3.7.2, GDAL 2.4.2, PROJ 5.2.0

library(readr)
library(mapview)
library(ggplot2)
library(tidyverse)

## ── Attaching packages ──────────────────────────────────────────────────────────── tidyverse 1.3.0 ──

## ✓ tibble  3.0.1     ✓ dplyr   0.8.5
## ✓ tidyr   1.0.2     ✓ stringr 1.4.0
## ✓ purrr   0.3.4     ✓ forcats 0.5.0

## ── Conflicts ─────────────────────────────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()

library(rlang)

## 
## Attaching package: 'rlang'

## The following objects are masked from 'package:purrr':
## 
##     %@%, as_function, flatten, flatten_chr, flatten_dbl, flatten_int,
##     flatten_lgl, flatten_raw, invoke, list_along, modify, prepend,
##     splice

library(reshape)

## 
## Attaching package: 'reshape'

## The following object is masked from 'package:dplyr':
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##     rename

## The following objects are masked from 'package:tidyr':
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##     expand, smiths

library(rgdal)

## Loading required package: sp

## rgdal: version: 1.4-8, (SVN revision 845)
##  Geospatial Data Abstraction Library extensions to R successfully loaded
##  Loaded GDAL runtime: GDAL 2.4.2, released 2019/06/28
##  Path to GDAL shared files: /Library/Frameworks/R.framework/Versions/3.6/Resources/library/rgdal/gdal
##  GDAL binary built with GEOS: FALSE 
##  Loaded PROJ.4 runtime: Rel. 5.2.0, September 15th, 2018, [PJ_VERSION: 520]
##  Path to PROJ.4 shared files: /Library/Frameworks/R.framework/Versions/3.6/Resources/library/rgdal/proj
##  Linking to sp version: 1.3-2

library(lubridate)

## 
## Attaching package: 'lubridate'

## The following object is masked from 'package:reshape':
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## The following objects are masked from 'package:dplyr':
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library(plotly)

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## Attaching package: 'plotly'

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##     last_plot

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library(patchwork)
library(ggforce)
library(gridExtra)

## 
## Attaching package: 'gridExtra'

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library(htmltools)
library(data.table)

## 
## Attaching package: 'data.table'

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library(webshot)
library(coronavirus)
library(runner)
library(zoo)

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## Attaching package: 'zoo'

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library(DataCombine)

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## Attaching package: 'DataCombine'

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library(fastDummies)
library(car)

## Loading required package: carData

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## Attaching package: 'car'

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library(heatmaply)

## Loading required package: viridis

## Loading required package: viridisLite

## Registered S3 method overwritten by 'seriation':
##   method         from 
##   reorder.hclust gclus

## 
## ======================
## Welcome to heatmaply version 1.1.0
## 
## Type citation('heatmaply') for how to cite the package.
## Type ?heatmaply for the main documentation.
## 
## The github page is: https://github.com/talgalili/heatmaply/
## Please submit your suggestions and bug-reports at: https://github.com/talgalili/heatmaply/issues
## Or contact: <tal.galili@gmail.com>
## ======================

library(htmlwidgets)
library(summarytools)

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##   method      from
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## 
## Attaching package: 'summarytools'

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library(glmnet)

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## Loaded glmnet 3.0-2

library(caret)

## Loading required package: lattice

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library(mlbench)
library(psych)

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library(plm)

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## Attaching package: 'plm'

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library(lmtest)
library(quantmod)

## Loading required package: xts

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## Attaching package: 'xts'

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## Loading required package: TTR

## Registered S3 method overwritten by 'quantmod':
##   method            from
##   as.zoo.data.frame zoo

## Version 0.4-0 included new data defaults. See ?getSymbols.

library(leaflet)

## 
## Attaching package: 'leaflet'

## The following object is masked from 'package:xts':
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library(corrplot)

## corrplot 0.84 loaded

library(fBasics)

## Loading required package: timeDate

## Loading required package: timeSeries

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## Attaching package: 'timeSeries'

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library(stargazer)

## 
## Please cite as:

##  Hlavac, Marek (2018). stargazer: Well-Formatted Regression and Summary Statistics Tables.

##  R package version 5.2.2. https://CRAN.R-project.org/package=stargazer

library(tseries)
library(vars)

## Loading required package: MASS

## 
## Attaching package: 'MASS'

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## Loading required package: strucchange

## Loading required package: sandwich

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## Attaching package: 'strucchange'

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## Loading required package: urca

library(dplyr)
library(gghighlight)
# I don't want scientific notation for my values, so I specify this below.
options(scipen = 999)

CLEANING - Note that initial confirmed cases and deaths are recorded as cumulative sums in the Hopkins dataset. We will generate new (daily and weekly) case and death data.

# Import and quickly cleaning our data. We will call the import our initial confirmed data (Wide). 
Initial_Confirmed_Wide <- read_csv("data/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv")

## Parsed with column specification:
## cols(
##   .default = col_double(),
##   `Province/State` = col_character(),
##   `Country/Region` = col_character()
## )

## See spec(...) for full column specifications.

Creating our Temporary and World data files.

# Our data is in wide format. Here, I translate it to long format.
Confirmed_Long <- pivot_longer(Initial_Confirmed_Wide, cols = c(5:149), names_to = "Dates", values_to = "Confirmed_Cases")

# Now, I rename my column for country in the long dataset.
Confirmed_Long$COUNTRY <- Confirmed_Long$`Country/Region`

# I can also convert the dates into a more usable string format with lubridate.
Confirmed_Long$Date <- mdy(Confirmed_Long$Dates, quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"),
  truncated = 0)
order(Confirmed_Long$Date)

##     [1]     1   146   291   436   581   726   871  1016  1161  1306  1451  1596
##    [13]  1741  1886  2031  2176  2321  2466  2611  2756  2901  3046  3191  3336
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##   [793] 37703 37848 37993 38138 38283 38428     4   149   294   439   584   729
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##   [841]  6094  6239  6384  6529  6674  6819  6964  7109  7254  7399  7544  7689
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##   [877] 11314 11459 11604 11749 11894 12039 12184 12329 12474 12619 12764 12909
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##  [1057] 37414 37559 37704 37849 37994 38139 38284 38429     5   150   295   440
##  [1069]   585   730   875  1020  1165  1310  1455  1600  1745  1890  2035  2180
##  [1081]  2325  2470  2615  2760  2905  3050  3195  3340  3485  3630  3775  3920
##  [1093]  4065  4210  4355  4500  4645  4790  4935  5080  5225  5370  5515  5660
##  [1105]  5805  5950  6095  6240  6385  6530  6675  6820  6965  7110  7255  7400
##  [1117]  7545  7690  7835  7980  8125  8270  8415  8560  8705  8850  8995  9140
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##  [1333]   296   441   586   731   876  1021  1166  1311  1456  1601  1746  1891
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##  [1621]  3487  3632  3777  3922  4067  4212  4357  4502  4647  4792  4937  5082
##  [1633]  5227  5372  5517  5662  5807  5952  6097  6242  6387  6532  6677  6822
##  [1645]  6967  7112  7257  7402  7547  7692  7837  7982  8127  8272  8417  8562
##  [1657]  8707  8852  8997  9142  9287  9432  9577  9722  9867 10012 10157 10302
##  [1669] 10447 10592 10737 10882 11027 11172 11317 11462 11607 11752 11897 12042
##  [1681] 12187 12332 12477 12622 12767 12912 13057 13202 13347 13492 13637 13782
##  [1693] 13927 14072 14217 14362 14507 14652 14797 14942 15087 15232 15377 15522
##  [1705] 15667 15812 15957 16102 16247 16392 16537 16682 16827 16972 17117 17262
##  [1717] 17407 17552 17697 17842 17987 18132 18277 18422 18567 18712 18857 19002
##  [1729] 19147 19292 19437 19582 19727 19872 20017 20162 20307 20452 20597 20742
##  [1741] 20887 21032 21177 21322 21467 21612 21757 21902 22047 22192 22337 22482
##  [1753] 22627 22772 22917 23062 23207 23352 23497 23642 23787 23932 24077 24222
##  [1765] 24367 24512 24657 24802 24947 25092 25237 25382 25527 25672 25817 25962
##  [1777] 26107 26252 26397 26542 26687 26832 26977 27122 27267 27412 27557 27702
##  [1789] 27847 27992 28137 28282 28427 28572 28717 28862 29007 29152 29297 29442
##  [1801] 29587 29732 29877 30022 30167 30312 30457 30602 30747 30892 31037 31182
##  [1813] 31327 31472 31617 31762 31907 32052 32197 32342 32487 32632 32777 32922
##  [1825] 33067 33212 33357 33502 33647 33792 33937 34082 34227 34372 34517 34662
##  [1837] 34807 34952 35097 35242 35387 35532 35677 35822 35967 36112 36257 36402
##  [1849] 36547 36692 36837 36982 37127 37272 37417 37562 37707 37852 37997 38142
##  [1861] 38287 38432     8   153   298   443   588   733   878  1023  1168  1313
##  [1873]  1458  1603  1748  1893  2038  2183  2328  2473  2618  2763  2908  3053
##  [1885]  3198  3343  3488  3633  3778  3923  4068  4213  4358  4503  4648  4793
##  [1897]  4938  5083  5228  5373  5518  5663  5808  5953  6098  6243  6388  6533
##  [1909]  6678  6823  6968  7113  7258  7403  7548  7693  7838  7983  8128  8273
##  [1921]  8418  8563  8708  8853  8998  9143  9288  9433  9578  9723  9868 10013
##  [1933] 10158 10303 10448 10593 10738 10883 11028 11173 11318 11463 11608 11753
##  [1945] 11898 12043 12188 12333 12478 12623 12768 12913 13058 13203 13348 13493
##  [1957] 13638 13783 13928 14073 14218 14363 14508 14653 14798 14943 15088 15233
##  [1969] 15378 15523 15668 15813 15958 16103 16248 16393 16538 16683 16828 16973
##  [1981] 17118 17263 17408 17553 17698 17843 17988 18133 18278 18423 18568 18713
##  [1993] 18858 19003 19148 19293 19438 19583 19728 19873 20018 20163 20308 20453
##  [2005] 20598 20743 20888 21033 21178 21323 21468 21613 21758 21903 22048 22193
##  [2017] 22338 22483 22628 22773 22918 23063 23208 23353 23498 23643 23788 23933
##  [2029] 24078 24223 24368 24513 24658 24803 24948 25093 25238 25383 25528 25673
##  [2041] 25818 25963 26108 26253 26398 26543 26688 26833 26978 27123 27268 27413
##  [2053] 27558 27703 27848 27993 28138 28283 28428 28573 28718 28863 29008 29153
##  [2065] 29298 29443 29588 29733 29878 30023 30168 30313 30458 30603 30748 30893
##  [2077] 31038 31183 31328 31473 31618 31763 31908 32053 32198 32343 32488 32633
##  [2089] 32778 32923 33068 33213 33358 33503 33648 33793 33938 34083 34228 34373
##  [2101] 34518 34663 34808 34953 35098 35243 35388 35533 35678 35823 35968 36113
##  [2113] 36258 36403 36548 36693 36838 36983 37128 37273 37418 37563 37708 37853
##  [2125] 37998 38143 38288 38433     9   154   299   444   589   734   879  1024
##  [2137]  1169  1314  1459  1604  1749  1894  2039  2184  2329  2474  2619  2764
##  [2149]  2909  3054  3199  3344  3489  3634  3779  3924  4069  4214  4359  4504
##  [2161]  4649  4794  4939  5084  5229  5374  5519  5664  5809  5954  6099  6244
##  [2173]  6389  6534  6679  6824  6969  7114  7259  7404  7549  7694  7839  7984
##  [2185]  8129  8274  8419  8564  8709  8854  8999  9144  9289  9434  9579  9724
##  [2197]  9869 10014 10159 10304 10449 10594 10739 10884 11029 11174 11319 11464
##  [2209] 11609 11754 11899 12044 12189 12334 12479 12624 12769 12914 13059 13204
##  [2221] 13349 13494 13639 13784 13929 14074 14219 14364 14509 14654 14799 14944
##  [2233] 15089 15234 15379 15524 15669 15814 15959 16104 16249 16394 16539 16684
##  [2245] 16829 16974 17119 17264 17409 17554 17699 17844 17989 18134 18279 18424
##  [2257] 18569 18714 18859 19004 19149 19294 19439 19584 19729 19874 20019 20164
##  [2269] 20309 20454 20599 20744 20889 21034 21179 21324 21469 21614 21759 21904
##  [2281] 22049 22194 22339 22484 22629 22774 22919 23064 23209 23354 23499 23644
##  [2293] 23789 23934 24079 24224 24369 24514 24659 24804 24949 25094 25239 25384
##  [2305] 25529 25674 25819 25964 26109 26254 26399 26544 26689 26834 26979 27124
##  [2317] 27269 27414 27559 27704 27849 27994 28139 28284 28429 28574 28719 28864
##  [2329] 29009 29154 29299 29444 29589 29734 29879 30024 30169 30314 30459 30604
##  [2341] 30749 30894 31039 31184 31329 31474 31619 31764 31909 32054 32199 32344
##  [2353] 32489 32634 32779 32924 33069 33214 33359 33504 33649 33794 33939 34084
##  [2365] 34229 34374 34519 34664 34809 34954 35099 35244 35389 35534 35679 35824
##  [2377] 35969 36114 36259 36404 36549 36694 36839 36984 37129 37274 37419 37564
##  [2389] 37709 37854 37999 38144 38289 38434    10   155   300   445   590   735
##  [2401]   880  1025  1170  1315  1460  1605  1750  1895  2040  2185  2330  2475
##  [2413]  2620  2765  2910  3055  3200  3345  3490  3635  3780  3925  4070  4215
##  [2425]  4360  4505  4650  4795  4940  5085  5230  5375  5520  5665  5810  5955
##  [2437]  6100  6245  6390  6535  6680  6825  6970  7115  7260  7405  7550  7695
##  [2449]  7840  7985  8130  8275  8420  8565  8710  8855  9000  9145  9290  9435
##  [2461]  9580  9725  9870 10015 10160 10305 10450 10595 10740 10885 11030 11175
##  [2473] 11320 11465 11610 11755 11900 12045 12190 12335 12480 12625 12770 12915
##  [2485] 13060 13205 13350 13495 13640 13785 13930 14075 14220 14365 14510 14655
##  [2497] 14800 14945 15090 15235 15380 15525 15670 15815 15960 16105 16250 16395
##  [2509] 16540 16685 16830 16975 17120 17265 17410 17555 17700 17845 17990 18135
##  [2521] 18280 18425 18570 18715 18860 19005 19150 19295 19440 19585 19730 19875
##  [2533] 20020 20165 20310 20455 20600 20745 20890 21035 21180 21325 21470 21615
##  [2545] 21760 21905 22050 22195 22340 22485 22630 22775 22920 23065 23210 23355
##  [2557] 23500 23645 23790 23935 24080 24225 24370 24515 24660 24805 24950 25095
##  [2569] 25240 25385 25530 25675 25820 25965 26110 26255 26400 26545 26690 26835
##  [2581] 26980 27125 27270 27415 27560 27705 27850 27995 28140 28285 28430 28575
##  [2593] 28720 28865 29010 29155 29300 29445 29590 29735 29880 30025 30170 30315
##  [2605] 30460 30605 30750 30895 31040 31185 31330 31475 31620 31765 31910 32055
##  [2617] 32200 32345 32490 32635 32780 32925 33070 33215 33360 33505 33650 33795
##  [2629] 33940 34085 34230 34375 34520 34665 34810 34955 35100 35245 35390 35535
##  [2641] 35680 35825 35970 36115 36260 36405 36550 36695 36840 36985 37130 37275
##  [2653] 37420 37565 37710 37855 38000 38145 38290 38435    11   156   301   446
##  [2665]   591   736   881  1026  1171  1316  1461  1606  1751  1896  2041  2186
##  [2677]  2331  2476  2621  2766  2911  3056  3201  3346  3491  3636  3781  3926
##  [2689]  4071  4216  4361  4506  4651  4796  4941  5086  5231  5376  5521  5666
##  [2701]  5811  5956  6101  6246  6391  6536  6681  6826  6971  7116  7261  7406
##  [2713]  7551  7696  7841  7986  8131  8276  8421  8566  8711  8856  9001  9146
##  [2725]  9291  9436  9581  9726  9871 10016 10161 10306 10451 10596 10741 10886
##  [2737] 11031 11176 11321 11466 11611 11756 11901 12046 12191 12336 12481 12626
##  [2749] 12771 12916 13061 13206 13351 13496 13641 13786 13931 14076 14221 14366
##  [2761] 14511 14656 14801 14946 15091 15236 15381 15526 15671 15816 15961 16106
##  [2773] 16251 16396 16541 16686 16831 16976 17121 17266 17411 17556 17701 17846
##  [2785] 17991 18136 18281 18426 18571 18716 18861 19006 19151 19296 19441 19586
##  [2797] 19731 19876 20021 20166 20311 20456 20601 20746 20891 21036 21181 21326
##  [2809] 21471 21616 21761 21906 22051 22196 22341 22486 22631 22776 22921 23066
##  [2821] 23211 23356 23501 23646 23791 23936 24081 24226 24371 24516 24661 24806
##  [2833] 24951 25096 25241 25386 25531 25676 25821 25966 26111 26256 26401 26546
##  [2845] 26691 26836 26981 27126 27271 27416 27561 27706 27851 27996 28141 28286
##  [2857] 28431 28576 28721 28866 29011 29156 29301 29446 29591 29736 29881 30026
##  [2869] 30171 30316 30461 30606 30751 30896 31041 31186 31331 31476 31621 31766
##  [2881] 31911 32056 32201 32346 32491 32636 32781 32926 33071 33216 33361 33506
##  [2893] 33651 33796 33941 34086 34231 34376 34521 34666 34811 34956 35101 35246
##  [2905] 35391 35536 35681 35826 35971 36116 36261 36406 36551 36696 36841 36986
##  [2917] 37131 37276 37421 37566 37711 37856 38001 38146 38291 38436    12   157
##  [2929]   302   447   592   737   882  1027  1172  1317  1462  1607  1752  1897
##  [2941]  2042  2187  2332  2477  2622  2767  2912  3057  3202  3347  3492  3637
##  [2953]  3782  3927  4072  4217  4362  4507  4652  4797  4942  5087  5232  5377
##  [2965]  5522  5667  5812  5957  6102  6247  6392  6537  6682  6827  6972  7117
##  [2977]  7262  7407  7552  7697  7842  7987  8132  8277  8422  8567  8712  8857
##  [2989]  9002  9147  9292  9437  9582  9727  9872 10017 10162 10307 10452 10597
##  [3001] 10742 10887 11032 11177 11322 11467 11612 11757 11902 12047 12192 12337
##  [3013] 12482 12627 12772 12917 13062 13207 13352 13497 13642 13787 13932 14077
##  [3025] 14222 14367 14512 14657 14802 14947 15092 15237 15382 15527 15672 15817
##  [3037] 15962 16107 16252 16397 16542 16687 16832 16977 17122 17267 17412 17557
##  [3049] 17702 17847 17992 18137 18282 18427 18572 18717 18862 19007 19152 19297
##  [3061] 19442 19587 19732 19877 20022 20167 20312 20457 20602 20747 20892 21037
##  [3073] 21182 21327 21472 21617 21762 21907 22052 22197 22342 22487 22632 22777
##  [3085] 22922 23067 23212 23357 23502 23647 23792 23937 24082 24227 24372 24517
##  [3097] 24662 24807 24952 25097 25242 25387 25532 25677 25822 25967 26112 26257
##  [3109] 26402 26547 26692 26837 26982 27127 27272 27417 27562 27707 27852 27997
##  [3121] 28142 28287 28432 28577 28722 28867 29012 29157 29302 29447 29592 29737
##  [3133] 29882 30027 30172 30317 30462 30607 30752 30897 31042 31187 31332 31477
##  [3145] 31622 31767 31912 32057 32202 32347 32492 32637 32782 32927 33072 33217
##  [3157] 33362 33507 33652 33797 33942 34087 34232 34377 34522 34667 34812 34957
##  [3169] 35102 35247 35392 35537 35682 35827 35972 36117 36262 36407 36552 36697
##  [3181] 36842 36987 37132 37277 37422 37567 37712 37857 38002 38147 38292 38437
##  [3193]    13   158   303   448   593   738   883  1028  1173  1318  1463  1608
##  [3205]  1753  1898  2043  2188  2333  2478  2623  2768  2913  3058  3203  3348
##  [3217]  3493  3638  3783  3928  4073  4218  4363  4508  4653  4798  4943  5088
##  [3229]  5233  5378  5523  5668  5813  5958  6103  6248  6393  6538  6683  6828
##  [3241]  6973  7118  7263  7408  7553  7698  7843  7988  8133  8278  8423  8568
##  [3253]  8713  8858  9003  9148  9293  9438  9583  9728  9873 10018 10163 10308
##  [3265] 10453 10598 10743 10888 11033 11178 11323 11468 11613 11758 11903 12048
##  [3277] 12193 12338 12483 12628 12773 12918 13063 13208 13353 13498 13643 13788
##  [3289] 13933 14078 14223 14368 14513 14658 14803 14948 15093 15238 15383 15528
##  [3301] 15673 15818 15963 16108 16253 16398 16543 16688 16833 16978 17123 17268
##  [3313] 17413 17558 17703 17848 17993 18138 18283 18428 18573 18718 18863 19008
##  [3325] 19153 19298 19443 19588 19733 19878 20023 20168 20313 20458 20603 20748
##  [3337] 20893 21038 21183 21328 21473 21618 21763 21908 22053 22198 22343 22488
##  [3349] 22633 22778 22923 23068 23213 23358 23503 23648 23793 23938 24083 24228
##  [3361] 24373 24518 24663 24808 24953 25098 25243 25388 25533 25678 25823 25968
##  [3373] 26113 26258 26403 26548 26693 26838 26983 27128 27273 27418 27563 27708
##  [3385] 27853 27998 28143 28288 28433 28578 28723 28868 29013 29158 29303 29448
##  [3397] 29593 29738 29883 30028 30173 30318 30463 30608 30753 30898 31043 31188
##  [3409] 31333 31478 31623 31768 31913 32058 32203 32348 32493 32638 32783 32928
##  [3421] 33073 33218 33363 33508 33653 33798 33943 34088 34233 34378 34523 34668
##  [3433] 34813 34958 35103 35248 35393 35538 35683 35828 35973 36118 36263 36408
##  [3445] 36553 36698 36843 36988 37133 37278 37423 37568 37713 37858 38003 38148
##  [3457] 38293 38438    14   159   304   449   594   739   884  1029  1174  1319
##  [3469]  1464  1609  1754  1899  2044  2189  2334  2479  2624  2769  2914  3059
##  [3481]  3204  3349  3494  3639  3784  3929  4074  4219  4364  4509  4654  4799
##  [3493]  4944  5089  5234  5379  5524  5669  5814  5959  6104  6249  6394  6539
##  [3505]  6684  6829  6974  7119  7264  7409  7554  7699  7844  7989  8134  8279
##  [3517]  8424  8569  8714  8859  9004  9149  9294  9439  9584  9729  9874 10019
##  [3529] 10164 10309 10454 10599 10744 10889 11034 11179 11324 11469 11614 11759
##  [3541] 11904 12049 12194 12339 12484 12629 12774 12919 13064 13209 13354 13499
##  [3553] 13644 13789 13934 14079 14224 14369 14514 14659 14804 14949 15094 15239
##  [3565] 15384 15529 15674 15819 15964 16109 16254 16399 16544 16689 16834 16979
##  [3577] 17124 17269 17414 17559 17704 17849 17994 18139 18284 18429 18574 18719
##  [3589] 18864 19009 19154 19299 19444 19589 19734 19879 20024 20169 20314 20459
##  [3601] 20604 20749 20894 21039 21184 21329 21474 21619 21764 21909 22054 22199
##  [3613] 22344 22489 22634 22779 22924 23069 23214 23359 23504 23649 23794 23939
##  [3625] 24084 24229 24374 24519 24664 24809 24954 25099 25244 25389 25534 25679
##  [3637] 25824 25969 26114 26259 26404 26549 26694 26839 26984 27129 27274 27419
##  [3649] 27564 27709 27854 27999 28144 28289 28434 28579 28724 28869 29014 29159
##  [3661] 29304 29449 29594 29739 29884 30029 30174 30319 30464 30609 30754 30899
##  [3673] 31044 31189 31334 31479 31624 31769 31914 32059 32204 32349 32494 32639
##  [3685] 32784 32929 33074 33219 33364 33509 33654 33799 33944 34089 34234 34379
##  [3697] 34524 34669 34814 34959 35104 35249 35394 35539 35684 35829 35974 36119
##  [3709] 36264 36409 36554 36699 36844 36989 37134 37279 37424 37569 37714 37859
##  [3721] 38004 38149 38294 38439    15   160   305   450   595   740   885  1030
##  [3733]  1175  1320  1465  1610  1755  1900  2045  2190  2335  2480  2625  2770
##  [3745]  2915  3060  3205  3350  3495  3640  3785  3930  4075  4220  4365  4510
##  [3757]  4655  4800  4945  5090  5235  5380  5525  5670  5815  5960  6105  6250
##  [3769]  6395  6540  6685  6830  6975  7120  7265  7410  7555  7700  7845  7990
##  [3781]  8135  8280  8425  8570  8715  8860  9005  9150  9295  9440  9585  9730
##  [3793]  9875 10020 10165 10310 10455 10600 10745 10890 11035 11180 11325 11470
##  [3805] 11615 11760 11905 12050 12195 12340 12485 12630 12775 12920 13065 13210
##  [3817] 13355 13500 13645 13790 13935 14080 14225 14370 14515 14660 14805 14950
##  [3829] 15095 15240 15385 15530 15675 15820 15965 16110 16255 16400 16545 16690
##  [3841] 16835 16980 17125 17270 17415 17560 17705 17850 17995 18140 18285 18430
##  [3853] 18575 18720 18865 19010 19155 19300 19445 19590 19735 19880 20025 20170
##  [3865] 20315 20460 20605 20750 20895 21040 21185 21330 21475 21620 21765 21910
##  [3877] 22055 22200 22345 22490 22635 22780 22925 23070 23215 23360 23505 23650
##  [3889] 23795 23940 24085 24230 24375 24520 24665 24810 24955 25100 25245 25390
##  [3901] 25535 25680 25825 25970 26115 26260 26405 26550 26695 26840 26985 27130
##  [3913] 27275 27420 27565 27710 27855 28000 28145 28290 28435 28580 28725 28870
##  [3925] 29015 29160 29305 29450 29595 29740 29885 30030 30175 30320 30465 30610
##  [3937] 30755 30900 31045 31190 31335 31480 31625 31770 31915 32060 32205 32350
##  [3949] 32495 32640 32785 32930 33075 33220 33365 33510 33655 33800 33945 34090
##  [3961] 34235 34380 34525 34670 34815 34960 35105 35250 35395 35540 35685 35830
##  [3973] 35975 36120 36265 36410 36555 36700 36845 36990 37135 37280 37425 37570
##  [3985] 37715 37860 38005 38150 38295 38440    16   161   306   451   596   741
##  [3997]   886  1031  1176  1321  1466  1611  1756  1901  2046  2191  2336  2481
##  [4009]  2626  2771  2916  3061  3206  3351  3496  3641  3786  3931  4076  4221
##  [4021]  4366  4511  4656  4801  4946  5091  5236  5381  5526  5671  5816  5961
##  [4033]  6106  6251  6396  6541  6686  6831  6976  7121  7266  7411  7556  7701
##  [4045]  7846  7991  8136  8281  8426  8571  8716  8861  9006  9151  9296  9441
##  [4057]  9586  9731  9876 10021 10166 10311 10456 10601 10746 10891 11036 11181
##  [4069] 11326 11471 11616 11761 11906 12051 12196 12341 12486 12631 12776 12921
##  [4081] 13066 13211 13356 13501 13646 13791 13936 14081 14226 14371 14516 14661
##  [4093] 14806 14951 15096 15241 15386 15531 15676 15821 15966 16111 16256 16401
##  [4105] 16546 16691 16836 16981 17126 17271 17416 17561 17706 17851 17996 18141
##  [4117] 18286 18431 18576 18721 18866 19011 19156 19301 19446 19591 19736 19881
##  [4129] 20026 20171 20316 20461 20606 20751 20896 21041 21186 21331 21476 21621
##  [4141] 21766 21911 22056 22201 22346 22491 22636 22781 22926 23071 23216 23361
##  [4153] 23506 23651 23796 23941 24086 24231 24376 24521 24666 24811 24956 25101
##  [4165] 25246 25391 25536 25681 25826 25971 26116 26261 26406 26551 26696 26841
##  [4177] 26986 27131 27276 27421 27566 27711 27856 28001 28146 28291 28436 28581
##  [4189] 28726 28871 29016 29161 29306 29451 29596 29741 29886 30031 30176 30321
##  [4201] 30466 30611 30756 30901 31046 31191 31336 31481 31626 31771 31916 32061
##  [4213] 32206 32351 32496 32641 32786 32931 33076 33221 33366 33511 33656 33801
##  [4225] 33946 34091 34236 34381 34526 34671 34816 34961 35106 35251 35396 35541
##  [4237] 35686 35831 35976 36121 36266 36411 36556 36701 36846 36991 37136 37281
##  [4249] 37426 37571 37716 37861 38006 38151 38296 38441    17   162   307   452
##  [4261]   597   742   887  1032  1177  1322  1467  1612  1757  1902  2047  2192
##  [4273]  2337  2482  2627  2772  2917  3062  3207  3352  3497  3642  3787  3932
##  [4285]  4077  4222  4367  4512  4657  4802  4947  5092  5237  5382  5527  5672
##  [4297]  5817  5962  6107  6252  6397  6542  6687  6832  6977  7122  7267  7412
##  [4309]  7557  7702  7847  7992  8137  8282  8427  8572  8717  8862  9007  9152
##  [4321]  9297  9442  9587  9732  9877 10022 10167 10312 10457 10602 10747 10892
##  [4333] 11037 11182 11327 11472 11617 11762 11907 12052 12197 12342 12487 12632
##  [4345] 12777 12922 13067 13212 13357 13502 13647 13792 13937 14082 14227 14372
##  [4357] 14517 14662 14807 14952 15097 15242 15387 15532 15677 15822 15967 16112
##  [4369] 16257 16402 16547 16692 16837 16982 17127 17272 17417 17562 17707 17852
##  [4381] 17997 18142 18287 18432 18577 18722 18867 19012 19157 19302 19447 19592
##  [4393] 19737 19882 20027 20172 20317 20462 20607 20752 20897 21042 21187 21332
##  [4405] 21477 21622 21767 21912 22057 22202 22347 22492 22637 22782 22927 23072
##  [4417] 23217 23362 23507 23652 23797 23942 24087 24232 24377 24522 24667 24812
##  [4429] 24957 25102 25247 25392 25537 25682 25827 25972 26117 26262 26407 26552
##  [4441] 26697 26842 26987 27132 27277 27422 27567 27712 27857 28002 28147 28292
##  [4453] 28437 28582 28727 28872 29017 29162 29307 29452 29597 29742 29887 30032
##  [4465] 30177 30322 30467 30612 30757 30902 31047 31192 31337 31482 31627 31772
##  [4477] 31917 32062 32207 32352 32497 32642 32787 32932 33077 33222 33367 33512
##  [4489] 33657 33802 33947 34092 34237 34382 34527 34672 34817 34962 35107 35252
##  [4501] 35397 35542 35687 35832 35977 36122 36267 36412 36557 36702 36847 36992
##  [4513] 37137 37282 37427 37572 37717 37862 38007 38152 38297 38442    18   163
##  [4525]   308   453   598   743   888  1033  1178  1323  1468  1613  1758  1903
##  [4537]  2048  2193  2338  2483  2628  2773  2918  3063  3208  3353  3498  3643
##  [4549]  3788  3933  4078  4223  4368  4513  4658  4803  4948  5093  5238  5383
##  [4561]  5528  5673  5818  5963  6108  6253  6398  6543  6688  6833  6978  7123
##  [4573]  7268  7413  7558  7703  7848  7993  8138  8283  8428  8573  8718  8863
##  [4585]  9008  9153  9298  9443  9588  9733  9878 10023 10168 10313 10458 10603
##  [4597] 10748 10893 11038 11183 11328 11473 11618 11763 11908 12053 12198 12343
##  [4609] 12488 12633 12778 12923 13068 13213 13358 13503 13648 13793 13938 14083
##  [4621] 14228 14373 14518 14663 14808 14953 15098 15243 15388 15533 15678 15823
##  [4633] 15968 16113 16258 16403 16548 16693 16838 16983 17128 17273 17418 17563
##  [4645] 17708 17853 17998 18143 18288 18433 18578 18723 18868 19013 19158 19303
##  [4657] 19448 19593 19738 19883 20028 20173 20318 20463 20608 20753 20898 21043
##  [4669] 21188 21333 21478 21623 21768 21913 22058 22203 22348 22493 22638 22783
##  [4681] 22928 23073 23218 23363 23508 23653 23798 23943 24088 24233 24378 24523
##  [4693] 24668 24813 24958 25103 25248 25393 25538 25683 25828 25973 26118 26263
##  [4705] 26408 26553 26698 26843 26988 27133 27278 27423 27568 27713 27858 28003
##  [4717] 28148 28293 28438 28583 28728 28873 29018 29163 29308 29453 29598 29743
##  [4729] 29888 30033 30178 30323 30468 30613 30758 30903 31048 31193 31338 31483
##  [4741] 31628 31773 31918 32063 32208 32353 32498 32643 32788 32933 33078 33223
##  [4753] 33368 33513 33658 33803 33948 34093 34238 34383 34528 34673 34818 34963
##  [4765] 35108 35253 35398 35543 35688 35833 35978 36123 36268 36413 36558 36703
##  [4777] 36848 36993 37138 37283 37428 37573 37718 37863 38008 38153 38298 38443
##  [4789]    19   164   309   454   599   744   889  1034  1179  1324  1469  1614
##  [4801]  1759  1904  2049  2194  2339  2484  2629  2774  2919  3064  3209  3354
##  [4813]  3499  3644  3789  3934  4079  4224  4369  4514  4659  4804  4949  5094
##  [4825]  5239  5384  5529  5674  5819  5964  6109  6254  6399  6544  6689  6834
##  [4837]  6979  7124  7269  7414  7559  7704  7849  7994  8139  8284  8429  8574
##  [4849]  8719  8864  9009  9154  9299  9444  9589  9734  9879 10024 10169 10314
##  [4861] 10459 10604 10749 10894 11039 11184 11329 11474 11619 11764 11909 12054
##  [4873] 12199 12344 12489 12634 12779 12924 13069 13214 13359 13504 13649 13794
##  [4885] 13939 14084 14229 14374 14519 14664 14809 14954 15099 15244 15389 15534
##  [4897] 15679 15824 15969 16114 16259 16404 16549 16694 16839 16984 17129 17274
##  [4909] 17419 17564 17709 17854 17999 18144 18289 18434 18579 18724 18869 19014
##  [4921] 19159 19304 19449 19594 19739 19884 20029 20174 20319 20464 20609 20754
##  [4933] 20899 21044 21189 21334 21479 21624 21769 21914 22059 22204 22349 22494
##  [4945] 22639 22784 22929 23074 23219 23364 23509 23654 23799 23944 24089 24234
##  [4957] 24379 24524 24669 24814 24959 25104 25249 25394 25539 25684 25829 25974
##  [4969] 26119 26264 26409 26554 26699 26844 26989 27134 27279 27424 27569 27714
##  [4981] 27859 28004 28149 28294 28439 28584 28729 28874 29019 29164 29309 29454
##  [4993] 29599 29744 29889 30034 30179 30324 30469 30614 30759 30904 31049 31194
##  [5005] 31339 31484 31629 31774 31919 32064 32209 32354 32499 32644 32789 32934
##  [5017] 33079 33224 33369 33514 33659 33804 33949 34094 34239 34384 34529 34674
##  [5029] 34819 34964 35109 35254 35399 35544 35689 35834 35979 36124 36269 36414
##  [5041] 36559 36704 36849 36994 37139 37284 37429 37574 37719 37864 38009 38154
##  [5053] 38299 38444    20   165   310   455   600   745   890  1035  1180  1325
##  [5065]  1470  1615  1760  1905  2050  2195  2340  2485  2630  2775  2920  3065
##  [5077]  3210  3355  3500  3645  3790  3935  4080  4225  4370  4515  4660  4805
##  [5089]  4950  5095  5240  5385  5530  5675  5820  5965  6110  6255  6400  6545
##  [5101]  6690  6835  6980  7125  7270  7415  7560  7705  7850  7995  8140  8285
##  [5113]  8430  8575  8720  8865  9010  9155  9300  9445  9590  9735  9880 10025
##  [5125] 10170 10315 10460 10605 10750 10895 11040 11185 11330 11475 11620 11765
##  [5137] 11910 12055 12200 12345 12490 12635 12780 12925 13070 13215 13360 13505
##  [5149] 13650 13795 13940 14085 14230 14375 14520 14665 14810 14955 15100 15245
##  [5161] 15390 15535 15680 15825 15970 16115 16260 16405 16550 16695 16840 16985
##  [5173] 17130 17275 17420 17565 17710 17855 18000 18145 18290 18435 18580 18725
##  [5185] 18870 19015 19160 19305 19450 19595 19740 19885 20030 20175 20320 20465
##  [5197] 20610 20755 20900 21045 21190 21335 21480 21625 21770 21915 22060 22205
##  [5209] 22350 22495 22640 22785 22930 23075 23220 23365 23510 23655 23800 23945
##  [5221] 24090 24235 24380 24525 24670 24815 24960 25105 25250 25395 25540 25685
##  [5233] 25830 25975 26120 26265 26410 26555 26700 26845 26990 27135 27280 27425
##  [5245] 27570 27715 27860 28005 28150 28295 28440 28585 28730 28875 29020 29165
##  [5257] 29310 29455 29600 29745 29890 30035 30180 30325 30470 30615 30760 30905
##  [5269] 31050 31195 31340 31485 31630 31775 31920 32065 32210 32355 32500 32645
##  [5281] 32790 32935 33080 33225 33370 33515 33660 33805 33950 34095 34240 34385
##  [5293] 34530 34675 34820 34965 35110 35255 35400 35545 35690 35835 35980 36125
##  [5305] 36270 36415 36560 36705 36850 36995 37140 37285 37430 37575 37720 37865
##  [5317] 38010 38155 38300 38445    21   166   311   456   601   746   891  1036
##  [5329]  1181  1326  1471  1616  1761  1906  2051  2196  2341  2486  2631  2776
##  [5341]  2921  3066  3211  3356  3501  3646  3791  3936  4081  4226  4371  4516
##  [5353]  4661  4806  4951  5096  5241  5386  5531  5676  5821  5966  6111  6256
##  [5365]  6401  6546  6691  6836  6981  7126  7271  7416  7561  7706  7851  7996
##  [5377]  8141  8286  8431  8576  8721  8866  9011  9156  9301  9446  9591  9736
##  [5389]  9881 10026 10171 10316 10461 10606 10751 10896 11041 11186 11331 11476
##  [5401] 11621 11766 11911 12056 12201 12346 12491 12636 12781 12926 13071 13216
##  [5413] 13361 13506 13651 13796 13941 14086 14231 14376 14521 14666 14811 14956
##  [5425] 15101 15246 15391 15536 15681 15826 15971 16116 16261 16406 16551 16696
##  [5437] 16841 16986 17131 17276 17421 17566 17711 17856 18001 18146 18291 18436
##  [5449] 18581 18726 18871 19016 19161 19306 19451 19596 19741 19886 20031 20176
##  [5461] 20321 20466 20611 20756 20901 21046 21191 21336 21481 21626 21771 21916
##  [5473] 22061 22206 22351 22496 22641 22786 22931 23076 23221 23366 23511 23656
##  [5485] 23801 23946 24091 24236 24381 24526 24671 24816 24961 25106 25251 25396
##  [5497] 25541 25686 25831 25976 26121 26266 26411 26556 26701 26846 26991 27136
##  [5509] 27281 27426 27571 27716 27861 28006 28151 28296 28441 28586 28731 28876
##  [5521] 29021 29166 29311 29456 29601 29746 29891 30036 30181 30326 30471 30616
##  [5533] 30761 30906 31051 31196 31341 31486 31631 31776 31921 32066 32211 32356
##  [5545] 32501 32646 32791 32936 33081 33226 33371 33516 33661 33806 33951 34096
##  [5557] 34241 34386 34531 34676 34821 34966 35111 35256 35401 35546 35691 35836
##  [5569] 35981 36126 36271 36416 36561 36706 36851 36996 37141 37286 37431 37576
##  [5581] 37721 37866 38011 38156 38301 38446    22   167   312   457   602   747
##  [5593]   892  1037  1182  1327  1472  1617  1762  1907  2052  2197  2342  2487
##  [5605]  2632  2777  2922  3067  3212  3357  3502  3647  3792  3937  4082  4227
##  [5617]  4372  4517  4662  4807  4952  5097  5242  5387  5532  5677  5822  5967
##  [5629]  6112  6257  6402  6547  6692  6837  6982  7127  7272  7417  7562  7707
##  [5641]  7852  7997  8142  8287  8432  8577  8722  8867  9012  9157  9302  9447
##  [5653]  9592  9737  9882 10027 10172 10317 10462 10607 10752 10897 11042 11187
##  [5665] 11332 11477 11622 11767 11912 12057 12202 12347 12492 12637 12782 12927
##  [5677] 13072 13217 13362 13507 13652 13797 13942 14087 14232 14377 14522 14667
##  [5689] 14812 14957 15102 15247 15392 15537 15682 15827 15972 16117 16262 16407
##  [5701] 16552 16697 16842 16987 17132 17277 17422 17567 17712 17857 18002 18147
##  [5713] 18292 18437 18582 18727 18872 19017 19162 19307 19452 19597 19742 19887
##  [5725] 20032 20177 20322 20467 20612 20757 20902 21047 21192 21337 21482 21627
##  [5737] 21772 21917 22062 22207 22352 22497 22642 22787 22932 23077 23222 23367
##  [5749] 23512 23657 23802 23947 24092 24237 24382 24527 24672 24817 24962 25107
##  [5761] 25252 25397 25542 25687 25832 25977 26122 26267 26412 26557 26702 26847
##  [5773] 26992 27137 27282 27427 27572 27717 27862 28007 28152 28297 28442 28587
##  [5785] 28732 28877 29022 29167 29312 29457 29602 29747 29892 30037 30182 30327
##  [5797] 30472 30617 30762 30907 31052 31197 31342 31487 31632 31777 31922 32067
##  [5809] 32212 32357 32502 32647 32792 32937 33082 33227 33372 33517 33662 33807
##  [5821] 33952 34097 34242 34387 34532 34677 34822 34967 35112 35257 35402 35547
##  [5833] 35692 35837 35982 36127 36272 36417 36562 36707 36852 36997 37142 37287
##  [5845] 37432 37577 37722 37867 38012 38157 38302 38447    23   168   313   458
##  [5857]   603   748   893  1038  1183  1328  1473  1618  1763  1908  2053  2198
##  [5869]  2343  2488  2633  2778  2923  3068  3213  3358  3503  3648  3793  3938
##  [5881]  4083  4228  4373  4518  4663  4808  4953  5098  5243  5388  5533  5678
##  [5893]  5823  5968  6113  6258  6403  6548  6693  6838  6983  7128  7273  7418
##  [5905]  7563  7708  7853  7998  8143  8288  8433  8578  8723  8868  9013  9158
##  [5917]  9303  9448  9593  9738  9883 10028 10173 10318 10463 10608 10753 10898
##  [5929] 11043 11188 11333 11478 11623 11768 11913 12058 12203 12348 12493 12638
##  [5941] 12783 12928 13073 13218 13363 13508 13653 13798 13943 14088 14233 14378
##  [5953] 14523 14668 14813 14958 15103 15248 15393 15538 15683 15828 15973 16118
##  [5965] 16263 16408 16553 16698 16843 16988 17133 17278 17423 17568 17713 17858
##  [5977] 18003 18148 18293 18438 18583 18728 18873 19018 19163 19308 19453 19598
##  [5989] 19743 19888 20033 20178 20323 20468 20613 20758 20903 21048 21193 21338
##  [6001] 21483 21628 21773 21918 22063 22208 22353 22498 22643 22788 22933 23078
##  [6013] 23223 23368 23513 23658 23803 23948 24093 24238 24383 24528 24673 24818
##  [6025] 24963 25108 25253 25398 25543 25688 25833 25978 26123 26268 26413 26558
##  [6037] 26703 26848 26993 27138 27283 27428 27573 27718 27863 28008 28153 28298
##  [6049] 28443 28588 28733 28878 29023 29168 29313 29458 29603 29748 29893 30038
##  [6061] 30183 30328 30473 30618 30763 30908 31053 31198 31343 31488 31633 31778
##  [6073] 31923 32068 32213 32358 32503 32648 32793 32938 33083 33228 33373 33518
##  [6085] 33663 33808 33953 34098 34243 34388 34533 34678 34823 34968 35113 35258
##  [6097] 35403 35548 35693 35838 35983 36128 36273 36418 36563 36708 36853 36998
##  [6109] 37143 37288 37433 37578 37723 37868 38013 38158 38303 38448    24   169
##  [6121]   314   459   604   749   894  1039  1184  1329  1474  1619  1764  1909
##  [6133]  2054  2199  2344  2489  2634  2779  2924  3069  3214  3359  3504  3649
##  [6145]  3794  3939  4084  4229  4374  4519  4664  4809  4954  5099  5244  5389
##  [6157]  5534  5679  5824  5969  6114  6259  6404  6549  6694  6839  6984  7129
##  [6169]  7274  7419  7564  7709  7854  7999  8144  8289  8434  8579  8724  8869
##  [6181]  9014  9159  9304  9449  9594  9739  9884 10029 10174 10319 10464 10609
##  [6193] 10754 10899 11044 11189 11334 11479 11624 11769 11914 12059 12204 12349
##  [6205] 12494 12639 12784 12929 13074 13219 13364 13509 13654 13799 13944 14089
##  [6217] 14234 14379 14524 14669 14814 14959 15104 15249 15394 15539 15684 15829
##  [6229] 15974 16119 16264 16409 16554 16699 16844 16989 17134 17279 17424 17569
##  [6241] 17714 17859 18004 18149 18294 18439 18584 18729 18874 19019 19164 19309
##  [6253] 19454 19599 19744 19889 20034 20179 20324 20469 20614 20759 20904 21049
##  [6265] 21194 21339 21484 21629 21774 21919 22064 22209 22354 22499 22644 22789
##  [6277] 22934 23079 23224 23369 23514 23659 23804 23949 24094 24239 24384 24529
##  [6289] 24674 24819 24964 25109 25254 25399 25544 25689 25834 25979 26124 26269
##  [6301] 26414 26559 26704 26849 26994 27139 27284 27429 27574 27719 27864 28009
##  [6313] 28154 28299 28444 28589 28734 28879 29024 29169 29314 29459 29604 29749
##  [6325] 29894 30039 30184 30329 30474 30619 30764 30909 31054 31199 31344 31489
##  [6337] 31634 31779 31924 32069 32214 32359 32504 32649 32794 32939 33084 33229
##  [6349] 33374 33519 33664 33809 33954 34099 34244 34389 34534 34679 34824 34969
##  [6361] 35114 35259 35404 35549 35694 35839 35984 36129 36274 36419 36564 36709
##  [6373] 36854 36999 37144 37289 37434 37579 37724 37869 38014 38159 38304 38449
##  [6385]    25   170   315   460   605   750   895  1040  1185  1330  1475  1620
##  [6397]  1765  1910  2055  2200  2345  2490  2635  2780  2925  3070  3215  3360
##  [6409]  3505  3650  3795  3940  4085  4230  4375  4520  4665  4810  4955  5100
##  [6421]  5245  5390  5535  5680  5825  5970  6115  6260  6405  6550  6695  6840
##  [6433]  6985  7130  7275  7420  7565  7710  7855  8000  8145  8290  8435  8580
##  [6445]  8725  8870  9015  9160  9305  9450  9595  9740  9885 10030 10175 10320
##  [6457] 10465 10610 10755 10900 11045 11190 11335 11480 11625 11770 11915 12060
##  [6469] 12205 12350 12495 12640 12785 12930 13075 13220 13365 13510 13655 13800
##  [6481] 13945 14090 14235 14380 14525 14670 14815 14960 15105 15250 15395 15540
##  [6493] 15685 15830 15975 16120 16265 16410 16555 16700 16845 16990 17135 17280
##  [6505] 17425 17570 17715 17860 18005 18150 18295 18440 18585 18730 18875 19020
##  [6517] 19165 19310 19455 19600 19745 19890 20035 20180 20325 20470 20615 20760
##  [6529] 20905 21050 21195 21340 21485 21630 21775 21920 22065 22210 22355 22500
##  [6541] 22645 22790 22935 23080 23225 23370 23515 23660 23805 23950 24095 24240
##  [6553] 24385 24530 24675 24820 24965 25110 25255 25400 25545 25690 25835 25980
##  [6565] 26125 26270 26415 26560 26705 26850 26995 27140 27285 27430 27575 27720
##  [6577] 27865 28010 28155 28300 28445 28590 28735 28880 29025 29170 29315 29460
##  [6589] 29605 29750 29895 30040 30185 30330 30475 30620 30765 30910 31055 31200
##  [6601] 31345 31490 31635 31780 31925 32070 32215 32360 32505 32650 32795 32940
##  [6613] 33085 33230 33375 33520 33665 33810 33955 34100 34245 34390 34535 34680
##  [6625] 34825 34970 35115 35260 35405 35550 35695 35840 35985 36130 36275 36420
##  [6637] 36565 36710 36855 37000 37145 37290 37435 37580 37725 37870 38015 38160
##  [6649] 38305 38450    26   171   316   461   606   751   896  1041  1186  1331
##  [6661]  1476  1621  1766  1911  2056  2201  2346  2491  2636  2781  2926  3071
##  [6673]  3216  3361  3506  3651  3796  3941  4086  4231  4376  4521  4666  4811
##  [6685]  4956  5101  5246  5391  5536  5681  5826  5971  6116  6261  6406  6551
##  [6697]  6696  6841  6986  7131  7276  7421  7566  7711  7856  8001  8146  8291
##  [6709]  8436  8581  8726  8871  9016  9161  9306  9451  9596  9741  9886 10031
##  [6721] 10176 10321 10466 10611 10756 10901 11046 11191 11336 11481 11626 11771
##  [6733] 11916 12061 12206 12351 12496 12641 12786 12931 13076 13221 13366 13511
##  [6745] 13656 13801 13946 14091 14236 14381 14526 14671 14816 14961 15106 15251
##  [6757] 15396 15541 15686 15831 15976 16121 16266 16411 16556 16701 16846 16991
##  [6769] 17136 17281 17426 17571 17716 17861 18006 18151 18296 18441 18586 18731
##  [6781] 18876 19021 19166 19311 19456 19601 19746 19891 20036 20181 20326 20471
##  [6793] 20616 20761 20906 21051 21196 21341 21486 21631 21776 21921 22066 22211
##  [6805] 22356 22501 22646 22791 22936 23081 23226 23371 23516 23661 23806 23951
##  [6817] 24096 24241 24386 24531 24676 24821 24966 25111 25256 25401 25546 25691
##  [6829] 25836 25981 26126 26271 26416 26561 26706 26851 26996 27141 27286 27431
##  [6841] 27576 27721 27866 28011 28156 28301 28446 28591 28736 28881 29026 29171
##  [6853] 29316 29461 29606 29751 29896 30041 30186 30331 30476 30621 30766 30911
##  [6865] 31056 31201 31346 31491 31636 31781 31926 32071 32216 32361 32506 32651
##  [6877] 32796 32941 33086 33231 33376 33521 33666 33811 33956 34101 34246 34391
##  [6889] 34536 34681 34826 34971 35116 35261 35406 35551 35696 35841 35986 36131
##  [6901] 36276 36421 36566 36711 36856 37001 37146 37291 37436 37581 37726 37871
##  [6913] 38016 38161 38306 38451    27   172   317   462   607   752   897  1042
##  [6925]  1187  1332  1477  1622  1767  1912  2057  2202  2347  2492  2637  2782
##  [6937]  2927  3072  3217  3362  3507  3652  3797  3942  4087  4232  4377  4522
##  [6949]  4667  4812  4957  5102  5247  5392  5537  5682  5827  5972  6117  6262
##  [6961]  6407  6552  6697  6842  6987  7132  7277  7422  7567  7712  7857  8002
##  [6973]  8147  8292  8437  8582  8727  8872  9017  9162  9307  9452  9597  9742
##  [6985]  9887 10032 10177 10322 10467 10612 10757 10902 11047 11192 11337 11482
##  [6997] 11627 11772 11917 12062 12207 12352 12497 12642 12787 12932 13077 13222
##  [7009] 13367 13512 13657 13802 13947 14092 14237 14382 14527 14672 14817 14962
##  [7021] 15107 15252 15397 15542 15687 15832 15977 16122 16267 16412 16557 16702
##  [7033] 16847 16992 17137 17282 17427 17572 17717 17862 18007 18152 18297 18442
##  [7045] 18587 18732 18877 19022 19167 19312 19457 19602 19747 19892 20037 20182
##  [7057] 20327 20472 20617 20762 20907 21052 21197 21342 21487 21632 21777 21922
##  [7069] 22067 22212 22357 22502 22647 22792 22937 23082 23227 23372 23517 23662
##  [7081] 23807 23952 24097 24242 24387 24532 24677 24822 24967 25112 25257 25402
##  [7093] 25547 25692 25837 25982 26127 26272 26417 26562 26707 26852 26997 27142
##  [7105] 27287 27432 27577 27722 27867 28012 28157 28302 28447 28592 28737 28882
##  [7117] 29027 29172 29317 29462 29607 29752 29897 30042 30187 30332 30477 30622
##  [7129] 30767 30912 31057 31202 31347 31492 31637 31782 31927 32072 32217 32362
##  [7141] 32507 32652 32797 32942 33087 33232 33377 33522 33667 33812 33957 34102
##  [7153] 34247 34392 34537 34682 34827 34972 35117 35262 35407 35552 35697 35842
##  [7165] 35987 36132 36277 36422 36567 36712 36857 37002 37147 37292 37437 37582
##  [7177] 37727 37872 38017 38162 38307 38452    28   173   318   463   608   753
##  [7189]   898  1043  1188  1333  1478  1623  1768  1913  2058  2203  2348  2493
##  [7201]  2638  2783  2928  3073  3218  3363  3508  3653  3798  3943  4088  4233
##  [7213]  4378  4523  4668  4813  4958  5103  5248  5393  5538  5683  5828  5973
##  [7225]  6118  6263  6408  6553  6698  6843  6988  7133  7278  7423  7568  7713
##  [7237]  7858  8003  8148  8293  8438  8583  8728  8873  9018  9163  9308  9453
##  [7249]  9598  9743  9888 10033 10178 10323 10468 10613 10758 10903 11048 11193
##  [7261] 11338 11483 11628 11773 11918 12063 12208 12353 12498 12643 12788 12933
##  [7273] 13078 13223 13368 13513 13658 13803 13948 14093 14238 14383 14528 14673
##  [7285] 14818 14963 15108 15253 15398 15543 15688 15833 15978 16123 16268 16413
##  [7297] 16558 16703 16848 16993 17138 17283 17428 17573 17718 17863 18008 18153
##  [7309] 18298 18443 18588 18733 18878 19023 19168 19313 19458 19603 19748 19893
##  [7321] 20038 20183 20328 20473 20618 20763 20908 21053 21198 21343 21488 21633
##  [7333] 21778 21923 22068 22213 22358 22503 22648 22793 22938 23083 23228 23373
##  [7345] 23518 23663 23808 23953 24098 24243 24388 24533 24678 24823 24968 25113
##  [7357] 25258 25403 25548 25693 25838 25983 26128 26273 26418 26563 26708 26853
##  [7369] 26998 27143 27288 27433 27578 27723 27868 28013 28158 28303 28448 28593
##  [7381] 28738 28883 29028 29173 29318 29463 29608 29753 29898 30043 30188 30333
##  [7393] 30478 30623 30768 30913 31058 31203 31348 31493 31638 31783 31928 32073
##  [7405] 32218 32363 32508 32653 32798 32943 33088 33233 33378 33523 33668 33813
##  [7417] 33958 34103 34248 34393 34538 34683 34828 34973 35118 35263 35408 35553
##  [7429] 35698 35843 35988 36133 36278 36423 36568 36713 36858 37003 37148 37293
##  [7441] 37438 37583 37728 37873 38018 38163 38308 38453    29   174   319   464
##  [7453]   609   754   899  1044  1189  1334  1479  1624  1769  1914  2059  2204
##  [7465]  2349  2494  2639  2784  2929  3074  3219  3364  3509  3654  3799  3944
##  [7477]  4089  4234  4379  4524  4669  4814  4959  5104  5249  5394  5539  5684
##  [7489]  5829  5974  6119  6264  6409  6554  6699  6844  6989  7134  7279  7424
##  [7501]  7569  7714  7859  8004  8149  8294  8439  8584  8729  8874  9019  9164
##  [7513]  9309  9454  9599  9744  9889 10034 10179 10324 10469 10614 10759 10904
##  [7525] 11049 11194 11339 11484 11629 11774 11919 12064 12209 12354 12499 12644
##  [7537] 12789 12934 13079 13224 13369 13514 13659 13804 13949 14094 14239 14384
##  [7549] 14529 14674 14819 14964 15109 15254 15399 15544 15689 15834 15979 16124
##  [7561] 16269 16414 16559 16704 16849 16994 17139 17284 17429 17574 17719 17864
##  [7573] 18009 18154 18299 18444 18589 18734 18879 19024 19169 19314 19459 19604
##  [7585] 19749 19894 20039 20184 20329 20474 20619 20764 20909 21054 21199 21344
##  [7597] 21489 21634 21779 21924 22069 22214 22359 22504 22649 22794 22939 23084
##  [7609] 23229 23374 23519 23664 23809 23954 24099 24244 24389 24534 24679 24824
##  [7621] 24969 25114 25259 25404 25549 25694 25839 25984 26129 26274 26419 26564
##  [7633] 26709 26854 26999 27144 27289 27434 27579 27724 27869 28014 28159 28304
##  [7645] 28449 28594 28739 28884 29029 29174 29319 29464 29609 29754 29899 30044
##  [7657] 30189 30334 30479 30624 30769 30914 31059 31204 31349 31494 31639 31784
##  [7669] 31929 32074 32219 32364 32509 32654 32799 32944 33089 33234 33379 33524
##  [7681] 33669 33814 33959 34104 34249 34394 34539 34684 34829 34974 35119 35264
##  [7693] 35409 35554 35699 35844 35989 36134 36279 36424 36569 36714 36859 37004
##  [7705] 37149 37294 37439 37584 37729 37874 38019 38164 38309 38454    30   175
##  [7717]   320   465   610   755   900  1045  1190  1335  1480  1625  1770  1915
##  [7729]  2060  2205  2350  2495  2640  2785  2930  3075  3220  3365  3510  3655
##  [7741]  3800  3945  4090  4235  4380  4525  4670  4815  4960  5105  5250  5395
##  [7753]  5540  5685  5830  5975  6120  6265  6410  6555  6700  6845  6990  7135
##  [7765]  7280  7425  7570  7715  7860  8005  8150  8295  8440  8585  8730  8875
##  [7777]  9020  9165  9310  9455  9600  9745  9890 10035 10180 10325 10470 10615
##  [7789] 10760 10905 11050 11195 11340 11485 11630 11775 11920 12065 12210 12355
##  [7801] 12500 12645 12790 12935 13080 13225 13370 13515 13660 13805 13950 14095
##  [7813] 14240 14385 14530 14675 14820 14965 15110 15255 15400 15545 15690 15835
##  [7825] 15980 16125 16270 16415 16560 16705 16850 16995 17140 17285 17430 17575
##  [7837] 17720 17865 18010 18155 18300 18445 18590 18735 18880 19025 19170 19315
##  [7849] 19460 19605 19750 19895 20040 20185 20330 20475 20620 20765 20910 21055
##  [7861] 21200 21345 21490 21635 21780 21925 22070 22215 22360 22505 22650 22795
##  [7873] 22940 23085 23230 23375 23520 23665 23810 23955 24100 24245 24390 24535
##  [7885] 24680 24825 24970 25115 25260 25405 25550 25695 25840 25985 26130 26275
##  [7897] 26420 26565 26710 26855 27000 27145 27290 27435 27580 27725 27870 28015
##  [7909] 28160 28305 28450 28595 28740 28885 29030 29175 29320 29465 29610 29755
##  [7921] 29900 30045 30190 30335 30480 30625 30770 30915 31060 31205 31350 31495
##  [7933] 31640 31785 31930 32075 32220 32365 32510 32655 32800 32945 33090 33235
##  [7945] 33380 33525 33670 33815 33960 34105 34250 34395 34540 34685 34830 34975
##  [7957] 35120 35265 35410 35555 35700 35845 35990 36135 36280 36425 36570 36715
##  [7969] 36860 37005 37150 37295 37440 37585 37730 37875 38020 38165 38310 38455
##  [7981]    31   176   321   466   611   756   901  1046  1191  1336  1481  1626
##  [7993]  1771  1916  2061  2206  2351  2496  2641  2786  2931  3076  3221  3366
##  [8005]  3511  3656  3801  3946  4091  4236  4381  4526  4671  4816  4961  5106
##  [8017]  5251  5396  5541  5686  5831  5976  6121  6266  6411  6556  6701  6846
##  [8029]  6991  7136  7281  7426  7571  7716  7861  8006  8151  8296  8441  8586
##  [8041]  8731  8876  9021  9166  9311  9456  9601  9746  9891 10036 10181 10326
##  [8053] 10471 10616 10761 10906 11051 11196 11341 11486 11631 11776 11921 12066
##  [8065] 12211 12356 12501 12646 12791 12936 13081 13226 13371 13516 13661 13806
##  [8077] 13951 14096 14241 14386 14531 14676 14821 14966 15111 15256 15401 15546
##  [8089] 15691 15836 15981 16126 16271 16416 16561 16706 16851 16996 17141 17286
##  [8101] 17431 17576 17721 17866 18011 18156 18301 18446 18591 18736 18881 19026
##  [8113] 19171 19316 19461 19606 19751 19896 20041 20186 20331 20476 20621 20766
##  [8125] 20911 21056 21201 21346 21491 21636 21781 21926 22071 22216 22361 22506
##  [8137] 22651 22796 22941 23086 23231 23376 23521 23666 23811 23956 24101 24246
##  [8149] 24391 24536 24681 24826 24971 25116 25261 25406 25551 25696 25841 25986
##  [8161] 26131 26276 26421 26566 26711 26856 27001 27146 27291 27436 27581 27726
##  [8173] 27871 28016 28161 28306 28451 28596 28741 28886 29031 29176 29321 29466
##  [8185] 29611 29756 29901 30046 30191 30336 30481 30626 30771 30916 31061 31206
##  [8197] 31351 31496 31641 31786 31931 32076 32221 32366 32511 32656 32801 32946
##  [8209] 33091 33236 33381 33526 33671 33816 33961 34106 34251 34396 34541 34686
##  [8221] 34831 34976 35121 35266 35411 35556 35701 35846 35991 36136 36281 36426
##  [8233] 36571 36716 36861 37006 37151 37296 37441 37586 37731 37876 38021 38166
##  [8245] 38311 38456    32   177   322   467   612   757   902  1047  1192  1337
##  [8257]  1482  1627  1772  1917  2062  2207  2352  2497  2642  2787  2932  3077
##  [8269]  3222  3367  3512  3657  3802  3947  4092  4237  4382  4527  4672  4817
##  [8281]  4962  5107  5252  5397  5542  5687  5832  5977  6122  6267  6412  6557
##  [8293]  6702  6847  6992  7137  7282  7427  7572  7717  7862  8007  8152  8297
##  [8305]  8442  8587  8732  8877  9022  9167  9312  9457  9602  9747  9892 10037
##  [8317] 10182 10327 10472 10617 10762 10907 11052 11197 11342 11487 11632 11777
##  [8329] 11922 12067 12212 12357 12502 12647 12792 12937 13082 13227 13372 13517
##  [8341] 13662 13807 13952 14097 14242 14387 14532 14677 14822 14967 15112 15257
##  [8353] 15402 15547 15692 15837 15982 16127 16272 16417 16562 16707 16852 16997
##  [8365] 17142 17287 17432 17577 17722 17867 18012 18157 18302 18447 18592 18737
##  [8377] 18882 19027 19172 19317 19462 19607 19752 19897 20042 20187 20332 20477
##  [8389] 20622 20767 20912 21057 21202 21347 21492 21637 21782 21927 22072 22217
##  [8401] 22362 22507 22652 22797 22942 23087 23232 23377 23522 23667 23812 23957
##  [8413] 24102 24247 24392 24537 24682 24827 24972 25117 25262 25407 25552 25697
##  [8425] 25842 25987 26132 26277 26422 26567 26712 26857 27002 27147 27292 27437
##  [8437] 27582 27727 27872 28017 28162 28307 28452 28597 28742 28887 29032 29177
##  [8449] 29322 29467 29612 29757 29902 30047 30192 30337 30482 30627 30772 30917
##  [8461] 31062 31207 31352 31497 31642 31787 31932 32077 32222 32367 32512 32657
##  [8473] 32802 32947 33092 33237 33382 33527 33672 33817 33962 34107 34252 34397
##  [8485] 34542 34687 34832 34977 35122 35267 35412 35557 35702 35847 35992 36137
##  [8497] 36282 36427 36572 36717 36862 37007 37152 37297 37442 37587 37732 37877
##  [8509] 38022 38167 38312 38457    33   178   323   468   613   758   903  1048
##  [8521]  1193  1338  1483  1628  1773  1918  2063  2208  2353  2498  2643  2788
##  [8533]  2933  3078  3223  3368  3513  3658  3803  3948  4093  4238  4383  4528
##  [8545]  4673  4818  4963  5108  5253  5398  5543  5688  5833  5978  6123  6268
##  [8557]  6413  6558  6703  6848  6993  7138  7283  7428  7573  7718  7863  8008
##  [8569]  8153  8298  8443  8588  8733  8878  9023  9168  9313  9458  9603  9748
##  [8581]  9893 10038 10183 10328 10473 10618 10763 10908 11053 11198 11343 11488
##  [8593] 11633 11778 11923 12068 12213 12358 12503 12648 12793 12938 13083 13228
##  [8605] 13373 13518 13663 13808 13953 14098 14243 14388 14533 14678 14823 14968
##  [8617] 15113 15258 15403 15548 15693 15838 15983 16128 16273 16418 16563 16708
##  [8629] 16853 16998 17143 17288 17433 17578 17723 17868 18013 18158 18303 18448
##  [8641] 18593 18738 18883 19028 19173 19318 19463 19608 19753 19898 20043 20188
##  [8653] 20333 20478 20623 20768 20913 21058 21203 21348 21493 21638 21783 21928
##  [8665] 22073 22218 22363 22508 22653 22798 22943 23088 23233 23378 23523 23668
##  [8677] 23813 23958 24103 24248 24393 24538 24683 24828 24973 25118 25263 25408
##  [8689] 25553 25698 25843 25988 26133 26278 26423 26568 26713 26858 27003 27148
##  [8701] 27293 27438 27583 27728 27873 28018 28163 28308 28453 28598 28743 28888
##  [8713] 29033 29178 29323 29468 29613 29758 29903 30048 30193 30338 30483 30628
##  [8725] 30773 30918 31063 31208 31353 31498 31643 31788 31933 32078 32223 32368
##  [8737] 32513 32658 32803 32948 33093 33238 33383 33528 33673 33818 33963 34108
##  [8749] 34253 34398 34543 34688 34833 34978 35123 35268 35413 35558 35703 35848
##  [8761] 35993 36138 36283 36428 36573 36718 36863 37008 37153 37298 37443 37588
##  [8773] 37733 37878 38023 38168 38313 38458    34   179   324   469   614   759
##  [8785]   904  1049  1194  1339  1484  1629  1774  1919  2064  2209  2354  2499
##  [8797]  2644  2789  2934  3079  3224  3369  3514  3659  3804  3949  4094  4239
##  [8809]  4384  4529  4674  4819  4964  5109  5254  5399  5544  5689  5834  5979
##  [8821]  6124  6269  6414  6559  6704  6849  6994  7139  7284  7429  7574  7719
##  [8833]  7864  8009  8154  8299  8444  8589  8734  8879  9024  9169  9314  9459
##  [8845]  9604  9749  9894 10039 10184 10329 10474 10619 10764 10909 11054 11199
##  [8857] 11344 11489 11634 11779 11924 12069 12214 12359 12504 12649 12794 12939
##  [8869] 13084 13229 13374 13519 13664 13809 13954 14099 14244 14389 14534 14679
##  [8881] 14824 14969 15114 15259 15404 15549 15694 15839 15984 16129 16274 16419
##  [8893] 16564 16709 16854 16999 17144 17289 17434 17579 17724 17869 18014 18159
##  [8905] 18304 18449 18594 18739 18884 19029 19174 19319 19464 19609 19754 19899
##  [8917] 20044 20189 20334 20479 20624 20769 20914 21059 21204 21349 21494 21639
##  [8929] 21784 21929 22074 22219 22364 22509 22654 22799 22944 23089 23234 23379
##  [8941] 23524 23669 23814 23959 24104 24249 24394 24539 24684 24829 24974 25119
##  [8953] 25264 25409 25554 25699 25844 25989 26134 26279 26424 26569 26714 26859
##  [8965] 27004 27149 27294 27439 27584 27729 27874 28019 28164 28309 28454 28599
##  [8977] 28744 28889 29034 29179 29324 29469 29614 29759 29904 30049 30194 30339
##  [8989] 30484 30629 30774 30919 31064 31209 31354 31499 31644 31789 31934 32079
##  [9001] 32224 32369 32514 32659 32804 32949 33094 33239 33384 33529 33674 33819
##  [9013] 33964 34109 34254 34399 34544 34689 34834 34979 35124 35269 35414 35559
##  [9025] 35704 35849 35994 36139 36284 36429 36574 36719 36864 37009 37154 37299
##  [9037] 37444 37589 37734 37879 38024 38169 38314 38459    35   180   325   470
##  [9049]   615   760   905  1050  1195  1340  1485  1630  1775  1920  2065  2210
##  [9061]  2355  2500  2645  2790  2935  3080  3225  3370  3515  3660  3805  3950
##  [9073]  4095  4240  4385  4530  4675  4820  4965  5110  5255  5400  5545  5690
##  [9085]  5835  5980  6125  6270  6415  6560  6705  6850  6995  7140  7285  7430
##  [9097]  7575  7720  7865  8010  8155  8300  8445  8590  8735  8880  9025  9170
##  [9109]  9315  9460  9605  9750  9895 10040 10185 10330 10475 10620 10765 10910
##  [9121] 11055 11200 11345 11490 11635 11780 11925 12070 12215 12360 12505 12650
##  [9133] 12795 12940 13085 13230 13375 13520 13665 13810 13955 14100 14245 14390
##  [9145] 14535 14680 14825 14970 15115 15260 15405 15550 15695 15840 15985 16130
##  [9157] 16275 16420 16565 16710 16855 17000 17145 17290 17435 17580 17725 17870
##  [9169] 18015 18160 18305 18450 18595 18740 18885 19030 19175 19320 19465 19610
##  [9181] 19755 19900 20045 20190 20335 20480 20625 20770 20915 21060 21205 21350
##  [9193] 21495 21640 21785 21930 22075 22220 22365 22510 22655 22800 22945 23090
##  [9205] 23235 23380 23525 23670 23815 23960 24105 24250 24395 24540 24685 24830
##  [9217] 24975 25120 25265 25410 25555 25700 25845 25990 26135 26280 26425 26570
##  [9229] 26715 26860 27005 27150 27295 27440 27585 27730 27875 28020 28165 28310
##  [9241] 28455 28600 28745 28890 29035 29180 29325 29470 29615 29760 29905 30050
##  [9253] 30195 30340 30485 30630 30775 30920 31065 31210 31355 31500 31645 31790
##  [9265] 31935 32080 32225 32370 32515 32660 32805 32950 33095 33240 33385 33530
##  [9277] 33675 33820 33965 34110 34255 34400 34545 34690 34835 34980 35125 35270
##  [9289] 35415 35560 35705 35850 35995 36140 36285 36430 36575 36720 36865 37010
##  [9301] 37155 37300 37445 37590 37735 37880 38025 38170 38315 38460    36   181
##  [9313]   326   471   616   761   906  1051  1196  1341  1486  1631  1776  1921
##  [9325]  2066  2211  2356  2501  2646  2791  2936  3081  3226  3371  3516  3661
##  [9337]  3806  3951  4096  4241  4386  4531  4676  4821  4966  5111  5256  5401
##  [9349]  5546  5691  5836  5981  6126  6271  6416  6561  6706  6851  6996  7141
##  [9361]  7286  7431  7576  7721  7866  8011  8156  8301  8446  8591  8736  8881
##  [9373]  9026  9171  9316  9461  9606  9751  9896 10041 10186 10331 10476 10621
##  [9385] 10766 10911 11056 11201 11346 11491 11636 11781 11926 12071 12216 12361
##  [9397] 12506 12651 12796 12941 13086 13231 13376 13521 13666 13811 13956 14101
##  [9409] 14246 14391 14536 14681 14826 14971 15116 15261 15406 15551 15696 15841
##  [9421] 15986 16131 16276 16421 16566 16711 16856 17001 17146 17291 17436 17581
##  [9433] 17726 17871 18016 18161 18306 18451 18596 18741 18886 19031 19176 19321
##  [9445] 19466 19611 19756 19901 20046 20191 20336 20481 20626 20771 20916 21061
##  [9457] 21206 21351 21496 21641 21786 21931 22076 22221 22366 22511 22656 22801
##  [9469] 22946 23091 23236 23381 23526 23671 23816 23961 24106 24251 24396 24541
##  [9481] 24686 24831 24976 25121 25266 25411 25556 25701 25846 25991 26136 26281
##  [9493] 26426 26571 26716 26861 27006 27151 27296 27441 27586 27731 27876 28021
##  [9505] 28166 28311 28456 28601 28746 28891 29036 29181 29326 29471 29616 29761
##  [9517] 29906 30051 30196 30341 30486 30631 30776 30921 31066 31211 31356 31501
##  [9529] 31646 31791 31936 32081 32226 32371 32516 32661 32806 32951 33096 33241
##  [9541] 33386 33531 33676 33821 33966 34111 34256 34401 34546 34691 34836 34981
##  [9553] 35126 35271 35416 35561 35706 35851 35996 36141 36286 36431 36576 36721
##  [9565] 36866 37011 37156 37301 37446 37591 37736 37881 38026 38171 38316 38461
##  [9577]    37   182   327   472   617   762   907  1052  1197  1342  1487  1632
##  [9589]  1777  1922  2067  2212  2357  2502  2647  2792  2937  3082  3227  3372
##  [9601]  3517  3662  3807  3952  4097  4242  4387  4532  4677  4822  4967  5112
##  [9613]  5257  5402  5547  5692  5837  5982  6127  6272  6417  6562  6707  6852
##  [9625]  6997  7142  7287  7432  7577  7722  7867  8012  8157  8302  8447  8592
##  [9637]  8737  8882  9027  9172  9317  9462  9607  9752  9897 10042 10187 10332
##  [9649] 10477 10622 10767 10912 11057 11202 11347 11492 11637 11782 11927 12072
##  [9661] 12217 12362 12507 12652 12797 12942 13087 13232 13377 13522 13667 13812
##  [9673] 13957 14102 14247 14392 14537 14682 14827 14972 15117 15262 15407 15552
##  [9685] 15697 15842 15987 16132 16277 16422 16567 16712 16857 17002 17147 17292
##  [9697] 17437 17582 17727 17872 18017 18162 18307 18452 18597 18742 18887 19032
##  [9709] 19177 19322 19467 19612 19757 19902 20047 20192 20337 20482 20627 20772
##  [9721] 20917 21062 21207 21352 21497 21642 21787 21932 22077 22222 22367 22512
##  [9733] 22657 22802 22947 23092 23237 23382 23527 23672 23817 23962 24107 24252
##  [9745] 24397 24542 24687 24832 24977 25122 25267 25412 25557 25702 25847 25992
##  [9757] 26137 26282 26427 26572 26717 26862 27007 27152 27297 27442 27587 27732
##  [9769] 27877 28022 28167 28312 28457 28602 28747 28892 29037 29182 29327 29472
##  [9781] 29617 29762 29907 30052 30197 30342 30487 30632 30777 30922 31067 31212
##  [9793] 31357 31502 31647 31792 31937 32082 32227 32372 32517 32662 32807 32952
##  [9805] 33097 33242 33387 33532 33677 33822 33967 34112 34257 34402 34547 34692
##  [9817] 34837 34982 35127 35272 35417 35562 35707 35852 35997 36142 36287 36432
##  [9829] 36577 36722 36867 37012 37157 37302 37447 37592 37737 37882 38027 38172
##  [9841] 38317 38462    38   183   328   473   618   763   908  1053  1198  1343
##  [9853]  1488  1633  1778  1923  2068  2213  2358  2503  2648  2793  2938  3083
##  [9865]  3228  3373  3518  3663  3808  3953  4098  4243  4388  4533  4678  4823
##  [9877]  4968  5113  5258  5403  5548  5693  5838  5983  6128  6273  6418  6563
##  [9889]  6708  6853  6998  7143  7288  7433  7578  7723  7868  8013  8158  8303
##  [9901]  8448  8593  8738  8883  9028  9173  9318  9463  9608  9753  9898 10043
##  [9913] 10188 10333 10478 10623 10768 10913 11058 11203 11348 11493 11638 11783
##  [9925] 11928 12073 12218 12363 12508 12653 12798 12943 13088 13233 13378 13523
##  [9937] 13668 13813 13958 14103 14248 14393 14538 14683 14828 14973 15118 15263
##  [9949] 15408 15553 15698 15843 15988 16133 16278 16423 16568 16713 16858 17003
##  [9961] 17148 17293 17438 17583 17728 17873 18018 18163 18308 18453 18598 18743
##  [9973] 18888 19033 19178 19323 19468 19613 19758 19903 20048 20193 20338 20483
##  [9985] 20628 20773 20918 21063 21208 21353 21498 21643 21788 21933 22078 22223
##  [9997] 22368 22513 22658 22803 22948 23093 23238 23383 23528 23673 23818 23963
## [10009] 24108 24253 24398 24543 24688 24833 24978 25123 25268 25413 25558 25703
## [10021] 25848 25993 26138 26283 26428 26573 26718 26863 27008 27153 27298 27443
## [10033] 27588 27733 27878 28023 28168 28313 28458 28603 28748 28893 29038 29183
## [10045] 29328 29473 29618 29763 29908 30053 30198 30343 30488 30633 30778 30923
## [10057] 31068 31213 31358 31503 31648 31793 31938 32083 32228 32373 32518 32663
## [10069] 32808 32953 33098 33243 33388 33533 33678 33823 33968 34113 34258 34403
## [10081] 34548 34693 34838 34983 35128 35273 35418 35563 35708 35853 35998 36143
## [10093] 36288 36433 36578 36723 36868 37013 37158 37303 37448 37593 37738 37883
## [10105] 38028 38173 38318 38463    39   184   329   474   619   764   909  1054
## [10117]  1199  1344  1489  1634  1779  1924  2069  2214  2359  2504  2649  2794
## [10129]  2939  3084  3229  3374  3519  3664  3809  3954  4099  4244  4389  4534
## [10141]  4679  4824  4969  5114  5259  5404  5549  5694  5839  5984  6129  6274
## [10153]  6419  6564  6709  6854  6999  7144  7289  7434  7579  7724  7869  8014
## [10165]  8159  8304  8449  8594  8739  8884  9029  9174  9319  9464  9609  9754
## [10177]  9899 10044 10189 10334 10479 10624 10769 10914 11059 11204 11349 11494
## [10189] 11639 11784 11929 12074 12219 12364 12509 12654 12799 12944 13089 13234
## [10201] 13379 13524 13669 13814 13959 14104 14249 14394 14539 14684 14829 14974
## [10213] 15119 15264 15409 15554 15699 15844 15989 16134 16279 16424 16569 16714
## [10225] 16859 17004 17149 17294 17439 17584 17729 17874 18019 18164 18309 18454
## [10237] 18599 18744 18889 19034 19179 19324 19469 19614 19759 19904 20049 20194
## [10249] 20339 20484 20629 20774 20919 21064 21209 21354 21499 21644 21789 21934
## [10261] 22079 22224 22369 22514 22659 22804 22949 23094 23239 23384 23529 23674
## [10273] 23819 23964 24109 24254 24399 24544 24689 24834 24979 25124 25269 25414
## [10285] 25559 25704 25849 25994 26139 26284 26429 26574 26719 26864 27009 27154
## [10297] 27299 27444 27589 27734 27879 28024 28169 28314 28459 28604 28749 28894
## [10309] 29039 29184 29329 29474 29619 29764 29909 30054 30199 30344 30489 30634
## [10321] 30779 30924 31069 31214 31359 31504 31649 31794 31939 32084 32229 32374
## [10333] 32519 32664 32809 32954 33099 33244 33389 33534 33679 33824 33969 34114
## [10345] 34259 34404 34549 34694 34839 34984 35129 35274 35419 35564 35709 35854
## [10357] 35999 36144 36289 36434 36579 36724 36869 37014 37159 37304 37449 37594
## [10369] 37739 37884 38029 38174 38319 38464    40   185   330   475   620   765
## [10381]   910  1055  1200  1345  1490  1635  1780  1925  2070  2215  2360  2505
## [10393]  2650  2795  2940  3085  3230  3375  3520  3665  3810  3955  4100  4245
## [10405]  4390  4535  4680  4825  4970  5115  5260  5405  5550  5695  5840  5985
## [10417]  6130  6275  6420  6565  6710  6855  7000  7145  7290  7435  7580  7725
## [10429]  7870  8015  8160  8305  8450  8595  8740  8885  9030  9175  9320  9465
## [10441]  9610  9755  9900 10045 10190 10335 10480 10625 10770 10915 11060 11205
## [10453] 11350 11495 11640 11785 11930 12075 12220 12365 12510 12655 12800 12945
## [10465] 13090 13235 13380 13525 13670 13815 13960 14105 14250 14395 14540 14685
## [10477] 14830 14975 15120 15265 15410 15555 15700 15845 15990 16135 16280 16425
## [10489] 16570 16715 16860 17005 17150 17295 17440 17585 17730 17875 18020 18165
## [10501] 18310 18455 18600 18745 18890 19035 19180 19325 19470 19615 19760 19905
## [10513] 20050 20195 20340 20485 20630 20775 20920 21065 21210 21355 21500 21645
## [10525] 21790 21935 22080 22225 22370 22515 22660 22805 22950 23095 23240 23385
## [10537] 23530 23675 23820 23965 24110 24255 24400 24545 24690 24835 24980 25125
## [10549] 25270 25415 25560 25705 25850 25995 26140 26285 26430 26575 26720 26865
## [10561] 27010 27155 27300 27445 27590 27735 27880 28025 28170 28315 28460 28605
## [10573] 28750 28895 29040 29185 29330 29475 29620 29765 29910 30055 30200 30345
## [10585] 30490 30635 30780 30925 31070 31215 31360 31505 31650 31795 31940 32085
## [10597] 32230 32375 32520 32665 32810 32955 33100 33245 33390 33535 33680 33825
## [10609] 33970 34115 34260 34405 34550 34695 34840 34985 35130 35275 35420 35565
## [10621] 35710 35855 36000 36145 36290 36435 36580 36725 36870 37015 37160 37305
## [10633] 37450 37595 37740 37885 38030 38175 38320 38465    41   186   331   476
## [10645]   621   766   911  1056  1201  1346  1491  1636  1781  1926  2071  2216
## [10657]  2361  2506  2651  2796  2941  3086  3231  3376  3521  3666  3811  3956
## [10669]  4101  4246  4391  4536  4681  4826  4971  5116  5261  5406  5551  5696
## [10681]  5841  5986  6131  6276  6421  6566  6711  6856  7001  7146  7291  7436
## [10693]  7581  7726  7871  8016  8161  8306  8451  8596  8741  8886  9031  9176
## [10705]  9321  9466  9611  9756  9901 10046 10191 10336 10481 10626 10771 10916
## [10717] 11061 11206 11351 11496 11641 11786 11931 12076 12221 12366 12511 12656
## [10729] 12801 12946 13091 13236 13381 13526 13671 13816 13961 14106 14251 14396
## [10741] 14541 14686 14831 14976 15121 15266 15411 15556 15701 15846 15991 16136
## [10753] 16281 16426 16571 16716 16861 17006 17151 17296 17441 17586 17731 17876
## [10765] 18021 18166 18311 18456 18601 18746 18891 19036 19181 19326 19471 19616
## [10777] 19761 19906 20051 20196 20341 20486 20631 20776 20921 21066 21211 21356
## [10789] 21501 21646 21791 21936 22081 22226 22371 22516 22661 22806 22951 23096
## [10801] 23241 23386 23531 23676 23821 23966 24111 24256 24401 24546 24691 24836
## [10813] 24981 25126 25271 25416 25561 25706 25851 25996 26141 26286 26431 26576
## [10825] 26721 26866 27011 27156 27301 27446 27591 27736 27881 28026 28171 28316
## [10837] 28461 28606 28751 28896 29041 29186 29331 29476 29621 29766 29911 30056
## [10849] 30201 30346 30491 30636 30781 30926 31071 31216 31361 31506 31651 31796
## [10861] 31941 32086 32231 32376 32521 32666 32811 32956 33101 33246 33391 33536
## [10873] 33681 33826 33971 34116 34261 34406 34551 34696 34841 34986 35131 35276
## [10885] 35421 35566 35711 35856 36001 36146 36291 36436 36581 36726 36871 37016
## [10897] 37161 37306 37451 37596 37741 37886 38031 38176 38321 38466    42   187
## [10909]   332   477   622   767   912  1057  1202  1347  1492  1637  1782  1927
## [10921]  2072  2217  2362  2507  2652  2797  2942  3087  3232  3377  3522  3667
## [10933]  3812  3957  4102  4247  4392  4537  4682  4827  4972  5117  5262  5407
## [10945]  5552  5697  5842  5987  6132  6277  6422  6567  6712  6857  7002  7147
## [10957]  7292  7437  7582  7727  7872  8017  8162  8307  8452  8597  8742  8887
## [10969]  9032  9177  9322  9467  9612  9757  9902 10047 10192 10337 10482 10627
## [10981] 10772 10917 11062 11207 11352 11497 11642 11787 11932 12077 12222 12367
## [10993] 12512 12657 12802 12947 13092 13237 13382 13527 13672 13817 13962 14107
## [11005] 14252 14397 14542 14687 14832 14977 15122 15267 15412 15557 15702 15847
## [11017] 15992 16137 16282 16427 16572 16717 16862 17007 17152 17297 17442 17587
## [11029] 17732 17877 18022 18167 18312 18457 18602 18747 18892 19037 19182 19327
## [11041] 19472 19617 19762 19907 20052 20197 20342 20487 20632 20777 20922 21067
## [11053] 21212 21357 21502 21647 21792 21937 22082 22227 22372 22517 22662 22807
## [11065] 22952 23097 23242 23387 23532 23677 23822 23967 24112 24257 24402 24547
## [11077] 24692 24837 24982 25127 25272 25417 25562 25707 25852 25997 26142 26287
## [11089] 26432 26577 26722 26867 27012 27157 27302 27447 27592 27737 27882 28027
## [11101] 28172 28317 28462 28607 28752 28897 29042 29187 29332 29477 29622 29767
## [11113] 29912 30057 30202 30347 30492 30637 30782 30927 31072 31217 31362 31507
## [11125] 31652 31797 31942 32087 32232 32377 32522 32667 32812 32957 33102 33247
## [11137] 33392 33537 33682 33827 33972 34117 34262 34407 34552 34697 34842 34987
## [11149] 35132 35277 35422 35567 35712 35857 36002 36147 36292 36437 36582 36727
## [11161] 36872 37017 37162 37307 37452 37597 37742 37887 38032 38177 38322 38467
## [11173]    43   188   333   478   623   768   913  1058  1203  1348  1493  1638
## [11185]  1783  1928  2073  2218  2363  2508  2653  2798  2943  3088  3233  3378
## [11197]  3523  3668  3813  3958  4103  4248  4393  4538  4683  4828  4973  5118
## [11209]  5263  5408  5553  5698  5843  5988  6133  6278  6423  6568  6713  6858
## [11221]  7003  7148  7293  7438  7583  7728  7873  8018  8163  8308  8453  8598
## [11233]  8743  8888  9033  9178  9323  9468  9613  9758  9903 10048 10193 10338
## [11245] 10483 10628 10773 10918 11063 11208 11353 11498 11643 11788 11933 12078
## [11257] 12223 12368 12513 12658 12803 12948 13093 13238 13383 13528 13673 13818
## [11269] 13963 14108 14253 14398 14543 14688 14833 14978 15123 15268 15413 15558
## [11281] 15703 15848 15993 16138 16283 16428 16573 16718 16863 17008 17153 17298
## [11293] 17443 17588 17733 17878 18023 18168 18313 18458 18603 18748 18893 19038
## [11305] 19183 19328 19473 19618 19763 19908 20053 20198 20343 20488 20633 20778
## [11317] 20923 21068 21213 21358 21503 21648 21793 21938 22083 22228 22373 22518
## [11329] 22663 22808 22953 23098 23243 23388 23533 23678 23823 23968 24113 24258
## [11341] 24403 24548 24693 24838 24983 25128 25273 25418 25563 25708 25853 25998
## [11353] 26143 26288 26433 26578 26723 26868 27013 27158 27303 27448 27593 27738
## [11365] 27883 28028 28173 28318 28463 28608 28753 28898 29043 29188 29333 29478
## [11377] 29623 29768 29913 30058 30203 30348 30493 30638 30783 30928 31073 31218
## [11389] 31363 31508 31653 31798 31943 32088 32233 32378 32523 32668 32813 32958
## [11401] 33103 33248 33393 33538 33683 33828 33973 34118 34263 34408 34553 34698
## [11413] 34843 34988 35133 35278 35423 35568 35713 35858 36003 36148 36293 36438
## [11425] 36583 36728 36873 37018 37163 37308 37453 37598 37743 37888 38033 38178
## [11437] 38323 38468    44   189   334   479   624   769   914  1059  1204  1349
## [11449]  1494  1639  1784  1929  2074  2219  2364  2509  2654  2799  2944  3089
## [11461]  3234  3379  3524  3669  3814  3959  4104  4249  4394  4539  4684  4829
## [11473]  4974  5119  5264  5409  5554  5699  5844  5989  6134  6279  6424  6569
## [11485]  6714  6859  7004  7149  7294  7439  7584  7729  7874  8019  8164  8309
## [11497]  8454  8599  8744  8889  9034  9179  9324  9469  9614  9759  9904 10049
## [11509] 10194 10339 10484 10629 10774 10919 11064 11209 11354 11499 11644 11789
## [11521] 11934 12079 12224 12369 12514 12659 12804 12949 13094 13239 13384 13529
## [11533] 13674 13819 13964 14109 14254 14399 14544 14689 14834 14979 15124 15269
## [11545] 15414 15559 15704 15849 15994 16139 16284 16429 16574 16719 16864 17009
## [11557] 17154 17299 17444 17589 17734 17879 18024 18169 18314 18459 18604 18749
## [11569] 18894 19039 19184 19329 19474 19619 19764 19909 20054 20199 20344 20489
## [11581] 20634 20779 20924 21069 21214 21359 21504 21649 21794 21939 22084 22229
## [11593] 22374 22519 22664 22809 22954 23099 23244 23389 23534 23679 23824 23969
## [11605] 24114 24259 24404 24549 24694 24839 24984 25129 25274 25419 25564 25709
## [11617] 25854 25999 26144 26289 26434 26579 26724 26869 27014 27159 27304 27449
## [11629] 27594 27739 27884 28029 28174 28319 28464 28609 28754 28899 29044 29189
## [11641] 29334 29479 29624 29769 29914 30059 30204 30349 30494 30639 30784 30929
## [11653] 31074 31219 31364 31509 31654 31799 31944 32089 32234 32379 32524 32669
## [11665] 32814 32959 33104 33249 33394 33539 33684 33829 33974 34119 34264 34409
## [11677] 34554 34699 34844 34989 35134 35279 35424 35569 35714 35859 36004 36149
## [11689] 36294 36439 36584 36729 36874 37019 37164 37309 37454 37599 37744 37889
## [11701] 38034 38179 38324 38469    45   190   335   480   625   770   915  1060
## [11713]  1205  1350  1495  1640  1785  1930  2075  2220  2365  2510  2655  2800
## [11725]  2945  3090  3235  3380  3525  3670  3815  3960  4105  4250  4395  4540
## [11737]  4685  4830  4975  5120  5265  5410  5555  5700  5845  5990  6135  6280
## [11749]  6425  6570  6715  6860  7005  7150  7295  7440  7585  7730  7875  8020
## [11761]  8165  8310  8455  8600  8745  8890  9035  9180  9325  9470  9615  9760
## [11773]  9905 10050 10195 10340 10485 10630 10775 10920 11065 11210 11355 11500
## [11785] 11645 11790 11935 12080 12225 12370 12515 12660 12805 12950 13095 13240
## [11797] 13385 13530 13675 13820 13965 14110 14255 14400 14545 14690 14835 14980
## [11809] 15125 15270 15415 15560 15705 15850 15995 16140 16285 16430 16575 16720
## [11821] 16865 17010 17155 17300 17445 17590 17735 17880 18025 18170 18315 18460
## [11833] 18605 18750 18895 19040 19185 19330 19475 19620 19765 19910 20055 20200
## [11845] 20345 20490 20635 20780 20925 21070 21215 21360 21505 21650 21795 21940
## [11857] 22085 22230 22375 22520 22665 22810 22955 23100 23245 23390 23535 23680
## [11869] 23825 23970 24115 24260 24405 24550 24695 24840 24985 25130 25275 25420
## [11881] 25565 25710 25855 26000 26145 26290 26435 26580 26725 26870 27015 27160
## [11893] 27305 27450 27595 27740 27885 28030 28175 28320 28465 28610 28755 28900
## [11905] 29045 29190 29335 29480 29625 29770 29915 30060 30205 30350 30495 30640
## [11917] 30785 30930 31075 31220 31365 31510 31655 31800 31945 32090 32235 32380
## [11929] 32525 32670 32815 32960 33105 33250 33395 33540 33685 33830 33975 34120
## [11941] 34265 34410 34555 34700 34845 34990 35135 35280 35425 35570 35715 35860
## [11953] 36005 36150 36295 36440 36585 36730 36875 37020 37165 37310 37455 37600
## [11965] 37745 37890 38035 38180 38325 38470    46   191   336   481   626   771
## [11977]   916  1061  1206  1351  1496  1641  1786  1931  2076  2221  2366  2511
## [11989]  2656  2801  2946  3091  3236  3381  3526  3671  3816  3961  4106  4251
## [12001]  4396  4541  4686  4831  4976  5121  5266  5411  5556  5701  5846  5991
## [12013]  6136  6281  6426  6571  6716  6861  7006  7151  7296  7441  7586  7731
## [12025]  7876  8021  8166  8311  8456  8601  8746  8891  9036  9181  9326  9471
## [12037]  9616  9761  9906 10051 10196 10341 10486 10631 10776 10921 11066 11211
## [12049] 11356 11501 11646 11791 11936 12081 12226 12371 12516 12661 12806 12951
## [12061] 13096 13241 13386 13531 13676 13821 13966 14111 14256 14401 14546 14691
## [12073] 14836 14981 15126 15271 15416 15561 15706 15851 15996 16141 16286 16431
## [12085] 16576 16721 16866 17011 17156 17301 17446 17591 17736 17881 18026 18171
## [12097] 18316 18461 18606 18751 18896 19041 19186 19331 19476 19621 19766 19911
## [12109] 20056 20201 20346 20491 20636 20781 20926 21071 21216 21361 21506 21651
## [12121] 21796 21941 22086 22231 22376 22521 22666 22811 22956 23101 23246 23391
## [12133] 23536 23681 23826 23971 24116 24261 24406 24551 24696 24841 24986 25131
## [12145] 25276 25421 25566 25711 25856 26001 26146 26291 26436 26581 26726 26871
## [12157] 27016 27161 27306 27451 27596 27741 27886 28031 28176 28321 28466 28611
## [12169] 28756 28901 29046 29191 29336 29481 29626 29771 29916 30061 30206 30351
## [12181] 30496 30641 30786 30931 31076 31221 31366 31511 31656 31801 31946 32091
## [12193] 32236 32381 32526 32671 32816 32961 33106 33251 33396 33541 33686 33831
## [12205] 33976 34121 34266 34411 34556 34701 34846 34991 35136 35281 35426 35571
## [12217] 35716 35861 36006 36151 36296 36441 36586 36731 36876 37021 37166 37311
## [12229] 37456 37601 37746 37891 38036 38181 38326 38471    47   192   337   482
## [12241]   627   772   917  1062  1207  1352  1497  1642  1787  1932  2077  2222
## [12253]  2367  2512  2657  2802  2947  3092  3237  3382  3527  3672  3817  3962
## [12265]  4107  4252  4397  4542  4687  4832  4977  5122  5267  5412  5557  5702
## [12277]  5847  5992  6137  6282  6427  6572  6717  6862  7007  7152  7297  7442
## [12289]  7587  7732  7877  8022  8167  8312  8457  8602  8747  8892  9037  9182
## [12301]  9327  9472  9617  9762  9907 10052 10197 10342 10487 10632 10777 10922
## [12313] 11067 11212 11357 11502 11647 11792 11937 12082 12227 12372 12517 12662
## [12325] 12807 12952 13097 13242 13387 13532 13677 13822 13967 14112 14257 14402
## [12337] 14547 14692 14837 14982 15127 15272 15417 15562 15707 15852 15997 16142
## [12349] 16287 16432 16577 16722 16867 17012 17157 17302 17447 17592 17737 17882
## [12361] 18027 18172 18317 18462 18607 18752 18897 19042 19187 19332 19477 19622
## [12373] 19767 19912 20057 20202 20347 20492 20637 20782 20927 21072 21217 21362
## [12385] 21507 21652 21797 21942 22087 22232 22377 22522 22667 22812 22957 23102
## [12397] 23247 23392 23537 23682 23827 23972 24117 24262 24407 24552 24697 24842
## [12409] 24987 25132 25277 25422 25567 25712 25857 26002 26147 26292 26437 26582
## [12421] 26727 26872 27017 27162 27307 27452 27597 27742 27887 28032 28177 28322
## [12433] 28467 28612 28757 28902 29047 29192 29337 29482 29627 29772 29917 30062
## [12445] 30207 30352 30497 30642 30787 30932 31077 31222 31367 31512 31657 31802
## [12457] 31947 32092 32237 32382 32527 32672 32817 32962 33107 33252 33397 33542
## [12469] 33687 33832 33977 34122 34267 34412 34557 34702 34847 34992 35137 35282
## [12481] 35427 35572 35717 35862 36007 36152 36297 36442 36587 36732 36877 37022
## [12493] 37167 37312 37457 37602 37747 37892 38037 38182 38327 38472    48   193
## [12505]   338   483   628   773   918  1063  1208  1353  1498  1643  1788  1933
## [12517]  2078  2223  2368  2513  2658  2803  2948  3093  3238  3383  3528  3673
## [12529]  3818  3963  4108  4253  4398  4543  4688  4833  4978  5123  5268  5413
## [12541]  5558  5703  5848  5993  6138  6283  6428  6573  6718  6863  7008  7153
## [12553]  7298  7443  7588  7733  7878  8023  8168  8313  8458  8603  8748  8893
## [12565]  9038  9183  9328  9473  9618  9763  9908 10053 10198 10343 10488 10633
## [12577] 10778 10923 11068 11213 11358 11503 11648 11793 11938 12083 12228 12373
## [12589] 12518 12663 12808 12953 13098 13243 13388 13533 13678 13823 13968 14113
## [12601] 14258 14403 14548 14693 14838 14983 15128 15273 15418 15563 15708 15853
## [12613] 15998 16143 16288 16433 16578 16723 16868 17013 17158 17303 17448 17593
## [12625] 17738 17883 18028 18173 18318 18463 18608 18753 18898 19043 19188 19333
## [12637] 19478 19623 19768 19913 20058 20203 20348 20493 20638 20783 20928 21073
## [12649] 21218 21363 21508 21653 21798 21943 22088 22233 22378 22523 22668 22813
## [12661] 22958 23103 23248 23393 23538 23683 23828 23973 24118 24263 24408 24553
## [12673] 24698 24843 24988 25133 25278 25423 25568 25713 25858 26003 26148 26293
## [12685] 26438 26583 26728 26873 27018 27163 27308 27453 27598 27743 27888 28033
## [12697] 28178 28323 28468 28613 28758 28903 29048 29193 29338 29483 29628 29773
## [12709] 29918 30063 30208 30353 30498 30643 30788 30933 31078 31223 31368 31513
## [12721] 31658 31803 31948 32093 32238 32383 32528 32673 32818 32963 33108 33253
## [12733] 33398 33543 33688 33833 33978 34123 34268 34413 34558 34703 34848 34993
## [12745] 35138 35283 35428 35573 35718 35863 36008 36153 36298 36443 36588 36733
## [12757] 36878 37023 37168 37313 37458 37603 37748 37893 38038 38183 38328 38473
## [12769]    49   194   339   484   629   774   919  1064  1209  1354  1499  1644
## [12781]  1789  1934  2079  2224  2369  2514  2659  2804  2949  3094  3239  3384
## [12793]  3529  3674  3819  3964  4109  4254  4399  4544  4689  4834  4979  5124
## [12805]  5269  5414  5559  5704  5849  5994  6139  6284  6429  6574  6719  6864
## [12817]  7009  7154  7299  7444  7589  7734  7879  8024  8169  8314  8459  8604
## [12829]  8749  8894  9039  9184  9329  9474  9619  9764  9909 10054 10199 10344
## [12841] 10489 10634 10779 10924 11069 11214 11359 11504 11649 11794 11939 12084
## [12853] 12229 12374 12519 12664 12809 12954 13099 13244 13389 13534 13679 13824
## [12865] 13969 14114 14259 14404 14549 14694 14839 14984 15129 15274 15419 15564
## [12877] 15709 15854 15999 16144 16289 16434 16579 16724 16869 17014 17159 17304
## [12889] 17449 17594 17739 17884 18029 18174 18319 18464 18609 18754 18899 19044
## [12901] 19189 19334 19479 19624 19769 19914 20059 20204 20349 20494 20639 20784
## [12913] 20929 21074 21219 21364 21509 21654 21799 21944 22089 22234 22379 22524
## [12925] 22669 22814 22959 23104 23249 23394 23539 23684 23829 23974 24119 24264
## [12937] 24409 24554 24699 24844 24989 25134 25279 25424 25569 25714 25859 26004
## [12949] 26149 26294 26439 26584 26729 26874 27019 27164 27309 27454 27599 27744
## [12961] 27889 28034 28179 28324 28469 28614 28759 28904 29049 29194 29339 29484
## [12973] 29629 29774 29919 30064 30209 30354 30499 30644 30789 30934 31079 31224
## [12985] 31369 31514 31659 31804 31949 32094 32239 32384 32529 32674 32819 32964
## [12997] 33109 33254 33399 33544 33689 33834 33979 34124 34269 34414 34559 34704
## [13009] 34849 34994 35139 35284 35429 35574 35719 35864 36009 36154 36299 36444
## [13021] 36589 36734 36879 37024 37169 37314 37459 37604 37749 37894 38039 38184
## [13033] 38329 38474    50   195   340   485   630   775   920  1065  1210  1355
## [13045]  1500  1645  1790  1935  2080  2225  2370  2515  2660  2805  2950  3095
## [13057]  3240  3385  3530  3675  3820  3965  4110  4255  4400  4545  4690  4835
## [13069]  4980  5125  5270  5415  5560  5705  5850  5995  6140  6285  6430  6575
## [13081]  6720  6865  7010  7155  7300  7445  7590  7735  7880  8025  8170  8315
## [13093]  8460  8605  8750  8895  9040  9185  9330  9475  9620  9765  9910 10055
## [13105] 10200 10345 10490 10635 10780 10925 11070 11215 11360 11505 11650 11795
## [13117] 11940 12085 12230 12375 12520 12665 12810 12955 13100 13245 13390 13535
## [13129] 13680 13825 13970 14115 14260 14405 14550 14695 14840 14985 15130 15275
## [13141] 15420 15565 15710 15855 16000 16145 16290 16435 16580 16725 16870 17015
## [13153] 17160 17305 17450 17595 17740 17885 18030 18175 18320 18465 18610 18755
## [13165] 18900 19045 19190 19335 19480 19625 19770 19915 20060 20205 20350 20495
## [13177] 20640 20785 20930 21075 21220 21365 21510 21655 21800 21945 22090 22235
## [13189] 22380 22525 22670 22815 22960 23105 23250 23395 23540 23685 23830 23975
## [13201] 24120 24265 24410 24555 24700 24845 24990 25135 25280 25425 25570 25715
## [13213] 25860 26005 26150 26295 26440 26585 26730 26875 27020 27165 27310 27455
## [13225] 27600 27745 27890 28035 28180 28325 28470 28615 28760 28905 29050 29195
## [13237] 29340 29485 29630 29775 29920 30065 30210 30355 30500 30645 30790 30935
## [13249] 31080 31225 31370 31515 31660 31805 31950 32095 32240 32385 32530 32675
## [13261] 32820 32965 33110 33255 33400 33545 33690 33835 33980 34125 34270 34415
## [13273] 34560 34705 34850 34995 35140 35285 35430 35575 35720 35865 36010 36155
## [13285] 36300 36445 36590 36735 36880 37025 37170 37315 37460 37605 37750 37895
## [13297] 38040 38185 38330 38475    51   196   341   486   631   776   921  1066
## [13309]  1211  1356  1501  1646  1791  1936  2081  2226  2371  2516  2661  2806
## [13321]  2951  3096  3241  3386  3531  3676  3821  3966  4111  4256  4401  4546
## [13333]  4691  4836  4981  5126  5271  5416  5561  5706  5851  5996  6141  6286
## [13345]  6431  6576  6721  6866  7011  7156  7301  7446  7591  7736  7881  8026
## [13357]  8171  8316  8461  8606  8751  8896  9041  9186  9331  9476  9621  9766
## [13369]  9911 10056 10201 10346 10491 10636 10781 10926 11071 11216 11361 11506
## [13381] 11651 11796 11941 12086 12231 12376 12521 12666 12811 12956 13101 13246
## [13393] 13391 13536 13681 13826 13971 14116 14261 14406 14551 14696 14841 14986
## [13405] 15131 15276 15421 15566 15711 15856 16001 16146 16291 16436 16581 16726
## [13417] 16871 17016 17161 17306 17451 17596 17741 17886 18031 18176 18321 18466
## [13429] 18611 18756 18901 19046 19191 19336 19481 19626 19771 19916 20061 20206
## [13441] 20351 20496 20641 20786 20931 21076 21221 21366 21511 21656 21801 21946
## [13453] 22091 22236 22381 22526 22671 22816 22961 23106 23251 23396 23541 23686
## [13465] 23831 23976 24121 24266 24411 24556 24701 24846 24991 25136 25281 25426
## [13477] 25571 25716 25861 26006 26151 26296 26441 26586 26731 26876 27021 27166
## [13489] 27311 27456 27601 27746 27891 28036 28181 28326 28471 28616 28761 28906
## [13501] 29051 29196 29341 29486 29631 29776 29921 30066 30211 30356 30501 30646
## [13513] 30791 30936 31081 31226 31371 31516 31661 31806 31951 32096 32241 32386
## [13525] 32531 32676 32821 32966 33111 33256 33401 33546 33691 33836 33981 34126
## [13537] 34271 34416 34561 34706 34851 34996 35141 35286 35431 35576 35721 35866
## [13549] 36011 36156 36301 36446 36591 36736 36881 37026 37171 37316 37461 37606
## [13561] 37751 37896 38041 38186 38331 38476    52   197   342   487   632   777
## [13573]   922  1067  1212  1357  1502  1647  1792  1937  2082  2227  2372  2517
## [13585]  2662  2807  2952  3097  3242  3387  3532  3677  3822  3967  4112  4257
## [13597]  4402  4547  4692  4837  4982  5127  5272  5417  5562  5707  5852  5997
## [13609]  6142  6287  6432  6577  6722  6867  7012  7157  7302  7447  7592  7737
## [13621]  7882  8027  8172  8317  8462  8607  8752  8897  9042  9187  9332  9477
## [13633]  9622  9767  9912 10057 10202 10347 10492 10637 10782 10927 11072 11217
## [13645] 11362 11507 11652 11797 11942 12087 12232 12377 12522 12667 12812 12957
## [13657] 13102 13247 13392 13537 13682 13827 13972 14117 14262 14407 14552 14697
## [13669] 14842 14987 15132 15277 15422 15567 15712 15857 16002 16147 16292 16437
## [13681] 16582 16727 16872 17017 17162 17307 17452 17597 17742 17887 18032 18177
## [13693] 18322 18467 18612 18757 18902 19047 19192 19337 19482 19627 19772 19917
## [13705] 20062 20207 20352 20497 20642 20787 20932 21077 21222 21367 21512 21657
## [13717] 21802 21947 22092 22237 22382 22527 22672 22817 22962 23107 23252 23397
## [13729] 23542 23687 23832 23977 24122 24267 24412 24557 24702 24847 24992 25137
## [13741] 25282 25427 25572 25717 25862 26007 26152 26297 26442 26587 26732 26877
## [13753] 27022 27167 27312 27457 27602 27747 27892 28037 28182 28327 28472 28617
## [13765] 28762 28907 29052 29197 29342 29487 29632 29777 29922 30067 30212 30357
## [13777] 30502 30647 30792 30937 31082 31227 31372 31517 31662 31807 31952 32097
## [13789] 32242 32387 32532 32677 32822 32967 33112 33257 33402 33547 33692 33837
## [13801] 33982 34127 34272 34417 34562 34707 34852 34997 35142 35287 35432 35577
## [13813] 35722 35867 36012 36157 36302 36447 36592 36737 36882 37027 37172 37317
## [13825] 37462 37607 37752 37897 38042 38187 38332 38477    53   198   343   488
## [13837]   633   778   923  1068  1213  1358  1503  1648  1793  1938  2083  2228
## [13849]  2373  2518  2663  2808  2953  3098  3243  3388  3533  3678  3823  3968
## [13861]  4113  4258  4403  4548  4693  4838  4983  5128  5273  5418  5563  5708
## [13873]  5853  5998  6143  6288  6433  6578  6723  6868  7013  7158  7303  7448
## [13885]  7593  7738  7883  8028  8173  8318  8463  8608  8753  8898  9043  9188
## [13897]  9333  9478  9623  9768  9913 10058 10203 10348 10493 10638 10783 10928
## [13909] 11073 11218 11363 11508 11653 11798 11943 12088 12233 12378 12523 12668
## [13921] 12813 12958 13103 13248 13393 13538 13683 13828 13973 14118 14263 14408
## [13933] 14553 14698 14843 14988 15133 15278 15423 15568 15713 15858 16003 16148
## [13945] 16293 16438 16583 16728 16873 17018 17163 17308 17453 17598 17743 17888
## [13957] 18033 18178 18323 18468 18613 18758 18903 19048 19193 19338 19483 19628
## [13969] 19773 19918 20063 20208 20353 20498 20643 20788 20933 21078 21223 21368
## [13981] 21513 21658 21803 21948 22093 22238 22383 22528 22673 22818 22963 23108
## [13993] 23253 23398 23543 23688 23833 23978 24123 24268 24413 24558 24703 24848
## [14005] 24993 25138 25283 25428 25573 25718 25863 26008 26153 26298 26443 26588
## [14017] 26733 26878 27023 27168 27313 27458 27603 27748 27893 28038 28183 28328
## [14029] 28473 28618 28763 28908 29053 29198 29343 29488 29633 29778 29923 30068
## [14041] 30213 30358 30503 30648 30793 30938 31083 31228 31373 31518 31663 31808
## [14053] 31953 32098 32243 32388 32533 32678 32823 32968 33113 33258 33403 33548
## [14065] 33693 33838 33983 34128 34273 34418 34563 34708 34853 34998 35143 35288
## [14077] 35433 35578 35723 35868 36013 36158 36303 36448 36593 36738 36883 37028
## [14089] 37173 37318 37463 37608 37753 37898 38043 38188 38333 38478    54   199
## [14101]   344   489   634   779   924  1069  1214  1359  1504  1649  1794  1939
## [14113]  2084  2229  2374  2519  2664  2809  2954  3099  3244  3389  3534  3679
## [14125]  3824  3969  4114  4259  4404  4549  4694  4839  4984  5129  5274  5419
## [14137]  5564  5709  5854  5999  6144  6289  6434  6579  6724  6869  7014  7159
## [14149]  7304  7449  7594  7739  7884  8029  8174  8319  8464  8609  8754  8899
## [14161]  9044  9189  9334  9479  9624  9769  9914 10059 10204 10349 10494 10639
## [14173] 10784 10929 11074 11219 11364 11509 11654 11799 11944 12089 12234 12379
## [14185] 12524 12669 12814 12959 13104 13249 13394 13539 13684 13829 13974 14119
## [14197] 14264 14409 14554 14699 14844 14989 15134 15279 15424 15569 15714 15859
## [14209] 16004 16149 16294 16439 16584 16729 16874 17019 17164 17309 17454 17599
## [14221] 17744 17889 18034 18179 18324 18469 18614 18759 18904 19049 19194 19339
## [14233] 19484 19629 19774 19919 20064 20209 20354 20499 20644 20789 20934 21079
## [14245] 21224 21369 21514 21659 21804 21949 22094 22239 22384 22529 22674 22819
## [14257] 22964 23109 23254 23399 23544 23689 23834 23979 24124 24269 24414 24559
## [14269] 24704 24849 24994 25139 25284 25429 25574 25719 25864 26009 26154 26299
## [14281] 26444 26589 26734 26879 27024 27169 27314 27459 27604 27749 27894 28039
## [14293] 28184 28329 28474 28619 28764 28909 29054 29199 29344 29489 29634 29779
## [14305] 29924 30069 30214 30359 30504 30649 30794 30939 31084 31229 31374 31519
## [14317] 31664 31809 31954 32099 32244 32389 32534 32679 32824 32969 33114 33259
## [14329] 33404 33549 33694 33839 33984 34129 34274 34419 34564 34709 34854 34999
## [14341] 35144 35289 35434 35579 35724 35869 36014 36159 36304 36449 36594 36739
## [14353] 36884 37029 37174 37319 37464 37609 37754 37899 38044 38189 38334 38479
## [14365]    55   200   345   490   635   780   925  1070  1215  1360  1505  1650
## [14377]  1795  1940  2085  2230  2375  2520  2665  2810  2955  3100  3245  3390
## [14389]  3535  3680  3825  3970  4115  4260  4405  4550  4695  4840  4985  5130
## [14401]  5275  5420  5565  5710  5855  6000  6145  6290  6435  6580  6725  6870
## [14413]  7015  7160  7305  7450  7595  7740  7885  8030  8175  8320  8465  8610
## [14425]  8755  8900  9045  9190  9335  9480  9625  9770  9915 10060 10205 10350
## [14437] 10495 10640 10785 10930 11075 11220 11365 11510 11655 11800 11945 12090
## [14449] 12235 12380 12525 12670 12815 12960 13105 13250 13395 13540 13685 13830
## [14461] 13975 14120 14265 14410 14555 14700 14845 14990 15135 15280 15425 15570
## [14473] 15715 15860 16005 16150 16295 16440 16585 16730 16875 17020 17165 17310
## [14485] 17455 17600 17745 17890 18035 18180 18325 18470 18615 18760 18905 19050
## [14497] 19195 19340 19485 19630 19775 19920 20065 20210 20355 20500 20645 20790
## [14509] 20935 21080 21225 21370 21515 21660 21805 21950 22095 22240 22385 22530
## [14521] 22675 22820 22965 23110 23255 23400 23545 23690 23835 23980 24125 24270
## [14533] 24415 24560 24705 24850 24995 25140 25285 25430 25575 25720 25865 26010
## [14545] 26155 26300 26445 26590 26735 26880 27025 27170 27315 27460 27605 27750
## [14557] 27895 28040 28185 28330 28475 28620 28765 28910 29055 29200 29345 29490
## [14569] 29635 29780 29925 30070 30215 30360 30505 30650 30795 30940 31085 31230
## [14581] 31375 31520 31665 31810 31955 32100 32245 32390 32535 32680 32825 32970
## [14593] 33115 33260 33405 33550 33695 33840 33985 34130 34275 34420 34565 34710
## [14605] 34855 35000 35145 35290 35435 35580 35725 35870 36015 36160 36305 36450
## [14617] 36595 36740 36885 37030 37175 37320 37465 37610 37755 37900 38045 38190
## [14629] 38335 38480    56   201   346   491   636   781   926  1071  1216  1361
## [14641]  1506  1651  1796  1941  2086  2231  2376  2521  2666  2811  2956  3101
## [14653]  3246  3391  3536  3681  3826  3971  4116  4261  4406  4551  4696  4841
## [14665]  4986  5131  5276  5421  5566  5711  5856  6001  6146  6291  6436  6581
## [14677]  6726  6871  7016  7161  7306  7451  7596  7741  7886  8031  8176  8321
## [14689]  8466  8611  8756  8901  9046  9191  9336  9481  9626  9771  9916 10061
## [14701] 10206 10351 10496 10641 10786 10931 11076 11221 11366 11511 11656 11801
## [14713] 11946 12091 12236 12381 12526 12671 12816 12961 13106 13251 13396 13541
## [14725] 13686 13831 13976 14121 14266 14411 14556 14701 14846 14991 15136 15281
## [14737] 15426 15571 15716 15861 16006 16151 16296 16441 16586 16731 16876 17021
## [14749] 17166 17311 17456 17601 17746 17891 18036 18181 18326 18471 18616 18761
## [14761] 18906 19051 19196 19341 19486 19631 19776 19921 20066 20211 20356 20501
## [14773] 20646 20791 20936 21081 21226 21371 21516 21661 21806 21951 22096 22241
## [14785] 22386 22531 22676 22821 22966 23111 23256 23401 23546 23691 23836 23981
## [14797] 24126 24271 24416 24561 24706 24851 24996 25141 25286 25431 25576 25721
## [14809] 25866 26011 26156 26301 26446 26591 26736 26881 27026 27171 27316 27461
## [14821] 27606 27751 27896 28041 28186 28331 28476 28621 28766 28911 29056 29201
## [14833] 29346 29491 29636 29781 29926 30071 30216 30361 30506 30651 30796 30941
## [14845] 31086 31231 31376 31521 31666 31811 31956 32101 32246 32391 32536 32681
## [14857] 32826 32971 33116 33261 33406 33551 33696 33841 33986 34131 34276 34421
## [14869] 34566 34711 34856 35001 35146 35291 35436 35581 35726 35871 36016 36161
## [14881] 36306 36451 36596 36741 36886 37031 37176 37321 37466 37611 37756 37901
## [14893] 38046 38191 38336 38481    57   202   347   492   637   782   927  1072
## [14905]  1217  1362  1507  1652  1797  1942  2087  2232  2377  2522  2667  2812
## [14917]  2957  3102  3247  3392  3537  3682  3827  3972  4117  4262  4407  4552
## [14929]  4697  4842  4987  5132  5277  5422  5567  5712  5857  6002  6147  6292
## [14941]  6437  6582  6727  6872  7017  7162  7307  7452  7597  7742  7887  8032
## [14953]  8177  8322  8467  8612  8757  8902  9047  9192  9337  9482  9627  9772
## [14965]  9917 10062 10207 10352 10497 10642 10787 10932 11077 11222 11367 11512
## [14977] 11657 11802 11947 12092 12237 12382 12527 12672 12817 12962 13107 13252
## [14989] 13397 13542 13687 13832 13977 14122 14267 14412 14557 14702 14847 14992
## [15001] 15137 15282 15427 15572 15717 15862 16007 16152 16297 16442 16587 16732
## [15013] 16877 17022 17167 17312 17457 17602 17747 17892 18037 18182 18327 18472
## [15025] 18617 18762 18907 19052 19197 19342 19487 19632 19777 19922 20067 20212
## [15037] 20357 20502 20647 20792 20937 21082 21227 21372 21517 21662 21807 21952
## [15049] 22097 22242 22387 22532 22677 22822 22967 23112 23257 23402 23547 23692
## [15061] 23837 23982 24127 24272 24417 24562 24707 24852 24997 25142 25287 25432
## [15073] 25577 25722 25867 26012 26157 26302 26447 26592 26737 26882 27027 27172
## [15085] 27317 27462 27607 27752 27897 28042 28187 28332 28477 28622 28767 28912
## [15097] 29057 29202 29347 29492 29637 29782 29927 30072 30217 30362 30507 30652
## [15109] 30797 30942 31087 31232 31377 31522 31667 31812 31957 32102 32247 32392
## [15121] 32537 32682 32827 32972 33117 33262 33407 33552 33697 33842 33987 34132
## [15133] 34277 34422 34567 34712 34857 35002 35147 35292 35437 35582 35727 35872
## [15145] 36017 36162 36307 36452 36597 36742 36887 37032 37177 37322 37467 37612
## [15157] 37757 37902 38047 38192 38337 38482    58   203   348   493   638   783
## [15169]   928  1073  1218  1363  1508  1653  1798  1943  2088  2233  2378  2523
## [15181]  2668  2813  2958  3103  3248  3393  3538  3683  3828  3973  4118  4263
## [15193]  4408  4553  4698  4843  4988  5133  5278  5423  5568  5713  5858  6003
## [15205]  6148  6293  6438  6583  6728  6873  7018  7163  7308  7453  7598  7743
## [15217]  7888  8033  8178  8323  8468  8613  8758  8903  9048  9193  9338  9483
## [15229]  9628  9773  9918 10063 10208 10353 10498 10643 10788 10933 11078 11223
## [15241] 11368 11513 11658 11803 11948 12093 12238 12383 12528 12673 12818 12963
## [15253] 13108 13253 13398 13543 13688 13833 13978 14123 14268 14413 14558 14703
## [15265] 14848 14993 15138 15283 15428 15573 15718 15863 16008 16153 16298 16443
## [15277] 16588 16733 16878 17023 17168 17313 17458 17603 17748 17893 18038 18183
## [15289] 18328 18473 18618 18763 18908 19053 19198 19343 19488 19633 19778 19923
## [15301] 20068 20213 20358 20503 20648 20793 20938 21083 21228 21373 21518 21663
## [15313] 21808 21953 22098 22243 22388 22533 22678 22823 22968 23113 23258 23403
## [15325] 23548 23693 23838 23983 24128 24273 24418 24563 24708 24853 24998 25143
## [15337] 25288 25433 25578 25723 25868 26013 26158 26303 26448 26593 26738 26883
## [15349] 27028 27173 27318 27463 27608 27753 27898 28043 28188 28333 28478 28623
## [15361] 28768 28913 29058 29203 29348 29493 29638 29783 29928 30073 30218 30363
## [15373] 30508 30653 30798 30943 31088 31233 31378 31523 31668 31813 31958 32103
## [15385] 32248 32393 32538 32683 32828 32973 33118 33263 33408 33553 33698 33843
## [15397] 33988 34133 34278 34423 34568 34713 34858 35003 35148 35293 35438 35583
## [15409] 35728 35873 36018 36163 36308 36453 36598 36743 36888 37033 37178 37323
## [15421] 37468 37613 37758 37903 38048 38193 38338 38483    59   204   349   494
## [15433]   639   784   929  1074  1219  1364  1509  1654  1799  1944  2089  2234
## [15445]  2379  2524  2669  2814  2959  3104  3249  3394  3539  3684  3829  3974
## [15457]  4119  4264  4409  4554  4699  4844  4989  5134  5279  5424  5569  5714
## [15469]  5859  6004  6149  6294  6439  6584  6729  6874  7019  7164  7309  7454
## [15481]  7599  7744  7889  8034  8179  8324  8469  8614  8759  8904  9049  9194
## [15493]  9339  9484  9629  9774  9919 10064 10209 10354 10499 10644 10789 10934
## [15505] 11079 11224 11369 11514 11659 11804 11949 12094 12239 12384 12529 12674
## [15517] 12819 12964 13109 13254 13399 13544 13689 13834 13979 14124 14269 14414
## [15529] 14559 14704 14849 14994 15139 15284 15429 15574 15719 15864 16009 16154
## [15541] 16299 16444 16589 16734 16879 17024 17169 17314 17459 17604 17749 17894
## [15553] 18039 18184 18329 18474 18619 18764 18909 19054 19199 19344 19489 19634
## [15565] 19779 19924 20069 20214 20359 20504 20649 20794 20939 21084 21229 21374
## [15577] 21519 21664 21809 21954 22099 22244 22389 22534 22679 22824 22969 23114
## [15589] 23259 23404 23549 23694 23839 23984 24129 24274 24419 24564 24709 24854
## [15601] 24999 25144 25289 25434 25579 25724 25869 26014 26159 26304 26449 26594
## [15613] 26739 26884 27029 27174 27319 27464 27609 27754 27899 28044 28189 28334
## [15625] 28479 28624 28769 28914 29059 29204 29349 29494 29639 29784 29929 30074
## [15637] 30219 30364 30509 30654 30799 30944 31089 31234 31379 31524 31669 31814
## [15649] 31959 32104 32249 32394 32539 32684 32829 32974 33119 33264 33409 33554
## [15661] 33699 33844 33989 34134 34279 34424 34569 34714 34859 35004 35149 35294
## [15673] 35439 35584 35729 35874 36019 36164 36309 36454 36599 36744 36889 37034
## [15685] 37179 37324 37469 37614 37759 37904 38049 38194 38339 38484    60   205
## [15697]   350   495   640   785   930  1075  1220  1365  1510  1655  1800  1945
## [15709]  2090  2235  2380  2525  2670  2815  2960  3105  3250  3395  3540  3685
## [15721]  3830  3975  4120  4265  4410  4555  4700  4845  4990  5135  5280  5425
## [15733]  5570  5715  5860  6005  6150  6295  6440  6585  6730  6875  7020  7165
## [15745]  7310  7455  7600  7745  7890  8035  8180  8325  8470  8615  8760  8905
## [15757]  9050  9195  9340  9485  9630  9775  9920 10065 10210 10355 10500 10645
## [15769] 10790 10935 11080 11225 11370 11515 11660 11805 11950 12095 12240 12385
## [15781] 12530 12675 12820 12965 13110 13255 13400 13545 13690 13835 13980 14125
## [15793] 14270 14415 14560 14705 14850 14995 15140 15285 15430 15575 15720 15865
## [15805] 16010 16155 16300 16445 16590 16735 16880 17025 17170 17315 17460 17605
## [15817] 17750 17895 18040 18185 18330 18475 18620 18765 18910 19055 19200 19345
## [15829] 19490 19635 19780 19925 20070 20215 20360 20505 20650 20795 20940 21085
## [15841] 21230 21375 21520 21665 21810 21955 22100 22245 22390 22535 22680 22825
## [15853] 22970 23115 23260 23405 23550 23695 23840 23985 24130 24275 24420 24565
## [15865] 24710 24855 25000 25145 25290 25435 25580 25725 25870 26015 26160 26305
## [15877] 26450 26595 26740 26885 27030 27175 27320 27465 27610 27755 27900 28045
## [15889] 28190 28335 28480 28625 28770 28915 29060 29205 29350 29495 29640 29785
## [15901] 29930 30075 30220 30365 30510 30655 30800 30945 31090 31235 31380 31525
## [15913] 31670 31815 31960 32105 32250 32395 32540 32685 32830 32975 33120 33265
## [15925] 33410 33555 33700 33845 33990 34135 34280 34425 34570 34715 34860 35005
## [15937] 35150 35295 35440 35585 35730 35875 36020 36165 36310 36455 36600 36745
## [15949] 36890 37035 37180 37325 37470 37615 37760 37905 38050 38195 38340 38485
## [15961]    61   206   351   496   641   786   931  1076  1221  1366  1511  1656
## [15973]  1801  1946  2091  2236  2381  2526  2671  2816  2961  3106  3251  3396
## [15985]  3541  3686  3831  3976  4121  4266  4411  4556  4701  4846  4991  5136
## [15997]  5281  5426  5571  5716  5861  6006  6151  6296  6441  6586  6731  6876
## [16009]  7021  7166  7311  7456  7601  7746  7891  8036  8181  8326  8471  8616
## [16021]  8761  8906  9051  9196  9341  9486  9631  9776  9921 10066 10211 10356
## [16033] 10501 10646 10791 10936 11081 11226 11371 11516 11661 11806 11951 12096
## [16045] 12241 12386 12531 12676 12821 12966 13111 13256 13401 13546 13691 13836
## [16057] 13981 14126 14271 14416 14561 14706 14851 14996 15141 15286 15431 15576
## [16069] 15721 15866 16011 16156 16301 16446 16591 16736 16881 17026 17171 17316
## [16081] 17461 17606 17751 17896 18041 18186 18331 18476 18621 18766 18911 19056
## [16093] 19201 19346 19491 19636 19781 19926 20071 20216 20361 20506 20651 20796
## [16105] 20941 21086 21231 21376 21521 21666 21811 21956 22101 22246 22391 22536
## [16117] 22681 22826 22971 23116 23261 23406 23551 23696 23841 23986 24131 24276
## [16129] 24421 24566 24711 24856 25001 25146 25291 25436 25581 25726 25871 26016
## [16141] 26161 26306 26451 26596 26741 26886 27031 27176 27321 27466 27611 27756
## [16153] 27901 28046 28191 28336 28481 28626 28771 28916 29061 29206 29351 29496
## [16165] 29641 29786 29931 30076 30221 30366 30511 30656 30801 30946 31091 31236
## [16177] 31381 31526 31671 31816 31961 32106 32251 32396 32541 32686 32831 32976
## [16189] 33121 33266 33411 33556 33701 33846 33991 34136 34281 34426 34571 34716
## [16201] 34861 35006 35151 35296 35441 35586 35731 35876 36021 36166 36311 36456
## [16213] 36601 36746 36891 37036 37181 37326 37471 37616 37761 37906 38051 38196
## [16225] 38341 38486    62   207   352   497   642   787   932  1077  1222  1367
## [16237]  1512  1657  1802  1947  2092  2237  2382  2527  2672  2817  2962  3107
## [16249]  3252  3397  3542  3687  3832  3977  4122  4267  4412  4557  4702  4847
## [16261]  4992  5137  5282  5427  5572  5717  5862  6007  6152  6297  6442  6587
## [16273]  6732  6877  7022  7167  7312  7457  7602  7747  7892  8037  8182  8327
## [16285]  8472  8617  8762  8907  9052  9197  9342  9487  9632  9777  9922 10067
## [16297] 10212 10357 10502 10647 10792 10937 11082 11227 11372 11517 11662 11807
## [16309] 11952 12097 12242 12387 12532 12677 12822 12967 13112 13257 13402 13547
## [16321] 13692 13837 13982 14127 14272 14417 14562 14707 14852 14997 15142 15287
## [16333] 15432 15577 15722 15867 16012 16157 16302 16447 16592 16737 16882 17027
## [16345] 17172 17317 17462 17607 17752 17897 18042 18187 18332 18477 18622 18767
## [16357] 18912 19057 19202 19347 19492 19637 19782 19927 20072 20217 20362 20507
## [16369] 20652 20797 20942 21087 21232 21377 21522 21667 21812 21957 22102 22247
## [16381] 22392 22537 22682 22827 22972 23117 23262 23407 23552 23697 23842 23987
## [16393] 24132 24277 24422 24567 24712 24857 25002 25147 25292 25437 25582 25727
## [16405] 25872 26017 26162 26307 26452 26597 26742 26887 27032 27177 27322 27467
## [16417] 27612 27757 27902 28047 28192 28337 28482 28627 28772 28917 29062 29207
## [16429] 29352 29497 29642 29787 29932 30077 30222 30367 30512 30657 30802 30947
## [16441] 31092 31237 31382 31527 31672 31817 31962 32107 32252 32397 32542 32687
## [16453] 32832 32977 33122 33267 33412 33557 33702 33847 33992 34137 34282 34427
## [16465] 34572 34717 34862 35007 35152 35297 35442 35587 35732 35877 36022 36167
## [16477] 36312 36457 36602 36747 36892 37037 37182 37327 37472 37617 37762 37907
## [16489] 38052 38197 38342 38487    63   208   353   498   643   788   933  1078
## [16501]  1223  1368  1513  1658  1803  1948  2093  2238  2383  2528  2673  2818
## [16513]  2963  3108  3253  3398  3543  3688  3833  3978  4123  4268  4413  4558
## [16525]  4703  4848  4993  5138  5283  5428  5573  5718  5863  6008  6153  6298
## [16537]  6443  6588  6733  6878  7023  7168  7313  7458  7603  7748  7893  8038
## [16549]  8183  8328  8473  8618  8763  8908  9053  9198  9343  9488  9633  9778
## [16561]  9923 10068 10213 10358 10503 10648 10793 10938 11083 11228 11373 11518
## [16573] 11663 11808 11953 12098 12243 12388 12533 12678 12823 12968 13113 13258
## [16585] 13403 13548 13693 13838 13983 14128 14273 14418 14563 14708 14853 14998
## [16597] 15143 15288 15433 15578 15723 15868 16013 16158 16303 16448 16593 16738
## [16609] 16883 17028 17173 17318 17463 17608 17753 17898 18043 18188 18333 18478
## [16621] 18623 18768 18913 19058 19203 19348 19493 19638 19783 19928 20073 20218
## [16633] 20363 20508 20653 20798 20943 21088 21233 21378 21523 21668 21813 21958
## [16645] 22103 22248 22393 22538 22683 22828 22973 23118 23263 23408 23553 23698
## [16657] 23843 23988 24133 24278 24423 24568 24713 24858 25003 25148 25293 25438
## [16669] 25583 25728 25873 26018 26163 26308 26453 26598 26743 26888 27033 27178
## [16681] 27323 27468 27613 27758 27903 28048 28193 28338 28483 28628 28773 28918
## [16693] 29063 29208 29353 29498 29643 29788 29933 30078 30223 30368 30513 30658
## [16705] 30803 30948 31093 31238 31383 31528 31673 31818 31963 32108 32253 32398
## [16717] 32543 32688 32833 32978 33123 33268 33413 33558 33703 33848 33993 34138
## [16729] 34283 34428 34573 34718 34863 35008 35153 35298 35443 35588 35733 35878
## [16741] 36023 36168 36313 36458 36603 36748 36893 37038 37183 37328 37473 37618
## [16753] 37763 37908 38053 38198 38343 38488    64   209   354   499   644   789
## [16765]   934  1079  1224  1369  1514  1659  1804  1949  2094  2239  2384  2529
## [16777]  2674  2819  2964  3109  3254  3399  3544  3689  3834  3979  4124  4269
## [16789]  4414  4559  4704  4849  4994  5139  5284  5429  5574  5719  5864  6009
## [16801]  6154  6299  6444  6589  6734  6879  7024  7169  7314  7459  7604  7749
## [16813]  7894  8039  8184  8329  8474  8619  8764  8909  9054  9199  9344  9489
## [16825]  9634  9779  9924 10069 10214 10359 10504 10649 10794 10939 11084 11229
## [16837] 11374 11519 11664 11809 11954 12099 12244 12389 12534 12679 12824 12969
## [16849] 13114 13259 13404 13549 13694 13839 13984 14129 14274 14419 14564 14709
## [16861] 14854 14999 15144 15289 15434 15579 15724 15869 16014 16159 16304 16449
## [16873] 16594 16739 16884 17029 17174 17319 17464 17609 17754 17899 18044 18189
## [16885] 18334 18479 18624 18769 18914 19059 19204 19349 19494 19639 19784 19929
## [16897] 20074 20219 20364 20509 20654 20799 20944 21089 21234 21379 21524 21669
## [16909] 21814 21959 22104 22249 22394 22539 22684 22829 22974 23119 23264 23409
## [16921] 23554 23699 23844 23989 24134 24279 24424 24569 24714 24859 25004 25149
## [16933] 25294 25439 25584 25729 25874 26019 26164 26309 26454 26599 26744 26889
## [16945] 27034 27179 27324 27469 27614 27759 27904 28049 28194 28339 28484 28629
## [16957] 28774 28919 29064 29209 29354 29499 29644 29789 29934 30079 30224 30369
## [16969] 30514 30659 30804 30949 31094 31239 31384 31529 31674 31819 31964 32109
## [16981] 32254 32399 32544 32689 32834 32979 33124 33269 33414 33559 33704 33849
## [16993] 33994 34139 34284 34429 34574 34719 34864 35009 35154 35299 35444 35589
## [17005] 35734 35879 36024 36169 36314 36459 36604 36749 36894 37039 37184 37329
## [17017] 37474 37619 37764 37909 38054 38199 38344 38489    65   210   355   500
## [17029]   645   790   935  1080  1225  1370  1515  1660  1805  1950  2095  2240
## [17041]  2385  2530  2675  2820  2965  3110  3255  3400  3545  3690  3835  3980
## [17053]  4125  4270  4415  4560  4705  4850  4995  5140  5285  5430  5575  5720
## [17065]  5865  6010  6155  6300  6445  6590  6735  6880  7025  7170  7315  7460
## [17077]  7605  7750  7895  8040  8185  8330  8475  8620  8765  8910  9055  9200
## [17089]  9345  9490  9635  9780  9925 10070 10215 10360 10505 10650 10795 10940
## [17101] 11085 11230 11375 11520 11665 11810 11955 12100 12245 12390 12535 12680
## [17113] 12825 12970 13115 13260 13405 13550 13695 13840 13985 14130 14275 14420
## [17125] 14565 14710 14855 15000 15145 15290 15435 15580 15725 15870 16015 16160
## [17137] 16305 16450 16595 16740 16885 17030 17175 17320 17465 17610 17755 17900
## [17149] 18045 18190 18335 18480 18625 18770 18915 19060 19205 19350 19495 19640
## [17161] 19785 19930 20075 20220 20365 20510 20655 20800 20945 21090 21235 21380
## [17173] 21525 21670 21815 21960 22105 22250 22395 22540 22685 22830 22975 23120
## [17185] 23265 23410 23555 23700 23845 23990 24135 24280 24425 24570 24715 24860
## [17197] 25005 25150 25295 25440 25585 25730 25875 26020 26165 26310 26455 26600
## [17209] 26745 26890 27035 27180 27325 27470 27615 27760 27905 28050 28195 28340
## [17221] 28485 28630 28775 28920 29065 29210 29355 29500 29645 29790 29935 30080
## [17233] 30225 30370 30515 30660 30805 30950 31095 31240 31385 31530 31675 31820
## [17245] 31965 32110 32255 32400 32545 32690 32835 32980 33125 33270 33415 33560
## [17257] 33705 33850 33995 34140 34285 34430 34575 34720 34865 35010 35155 35300
## [17269] 35445 35590 35735 35880 36025 36170 36315 36460 36605 36750 36895 37040
## [17281] 37185 37330 37475 37620 37765 37910 38055 38200 38345 38490    66   211
## [17293]   356   501   646   791   936  1081  1226  1371  1516  1661  1806  1951
## [17305]  2096  2241  2386  2531  2676  2821  2966  3111  3256  3401  3546  3691
## [17317]  3836  3981  4126  4271  4416  4561  4706  4851  4996  5141  5286  5431
## [17329]  5576  5721  5866  6011  6156  6301  6446  6591  6736  6881  7026  7171
## [17341]  7316  7461  7606  7751  7896  8041  8186  8331  8476  8621  8766  8911
## [17353]  9056  9201  9346  9491  9636  9781  9926 10071 10216 10361 10506 10651
## [17365] 10796 10941 11086 11231 11376 11521 11666 11811 11956 12101 12246 12391
## [17377] 12536 12681 12826 12971 13116 13261 13406 13551 13696 13841 13986 14131
## [17389] 14276 14421 14566 14711 14856 15001 15146 15291 15436 15581 15726 15871
## [17401] 16016 16161 16306 16451 16596 16741 16886 17031 17176 17321 17466 17611
## [17413] 17756 17901 18046 18191 18336 18481 18626 18771 18916 19061 19206 19351
## [17425] 19496 19641 19786 19931 20076 20221 20366 20511 20656 20801 20946 21091
## [17437] 21236 21381 21526 21671 21816 21961 22106 22251 22396 22541 22686 22831
## [17449] 22976 23121 23266 23411 23556 23701 23846 23991 24136 24281 24426 24571
## [17461] 24716 24861 25006 25151 25296 25441 25586 25731 25876 26021 26166 26311
## [17473] 26456 26601 26746 26891 27036 27181 27326 27471 27616 27761 27906 28051
## [17485] 28196 28341 28486 28631 28776 28921 29066 29211 29356 29501 29646 29791
## [17497] 29936 30081 30226 30371 30516 30661 30806 30951 31096 31241 31386 31531
## [17509] 31676 31821 31966 32111 32256 32401 32546 32691 32836 32981 33126 33271
## [17521] 33416 33561 33706 33851 33996 34141 34286 34431 34576 34721 34866 35011
## [17533] 35156 35301 35446 35591 35736 35881 36026 36171 36316 36461 36606 36751
## [17545] 36896 37041 37186 37331 37476 37621 37766 37911 38056 38201 38346 38491
## [17557]    67   212   357   502   647   792   937  1082  1227  1372  1517  1662
## [17569]  1807  1952  2097  2242  2387  2532  2677  2822  2967  3112  3257  3402
## [17581]  3547  3692  3837  3982  4127  4272  4417  4562  4707  4852  4997  5142
## [17593]  5287  5432  5577  5722  5867  6012  6157  6302  6447  6592  6737  6882
## [17605]  7027  7172  7317  7462  7607  7752  7897  8042  8187  8332  8477  8622
## [17617]  8767  8912  9057  9202  9347  9492  9637  9782  9927 10072 10217 10362
## [17629] 10507 10652 10797 10942 11087 11232 11377 11522 11667 11812 11957 12102
## [17641] 12247 12392 12537 12682 12827 12972 13117 13262 13407 13552 13697 13842
## [17653] 13987 14132 14277 14422 14567 14712 14857 15002 15147 15292 15437 15582
## [17665] 15727 15872 16017 16162 16307 16452 16597 16742 16887 17032 17177 17322
## [17677] 17467 17612 17757 17902 18047 18192 18337 18482 18627 18772 18917 19062
## [17689] 19207 19352 19497 19642 19787 19932 20077 20222 20367 20512 20657 20802
## [17701] 20947 21092 21237 21382 21527 21672 21817 21962 22107 22252 22397 22542
## [17713] 22687 22832 22977 23122 23267 23412 23557 23702 23847 23992 24137 24282
## [17725] 24427 24572 24717 24862 25007 25152 25297 25442 25587 25732 25877 26022
## [17737] 26167 26312 26457 26602 26747 26892 27037 27182 27327 27472 27617 27762
## [17749] 27907 28052 28197 28342 28487 28632 28777 28922 29067 29212 29357 29502
## [17761] 29647 29792 29937 30082 30227 30372 30517 30662 30807 30952 31097 31242
## [17773] 31387 31532 31677 31822 31967 32112 32257 32402 32547 32692 32837 32982
## [17785] 33127 33272 33417 33562 33707 33852 33997 34142 34287 34432 34577 34722
## [17797] 34867 35012 35157 35302 35447 35592 35737 35882 36027 36172 36317 36462
## [17809] 36607 36752 36897 37042 37187 37332 37477 37622 37767 37912 38057 38202
## [17821] 38347 38492    68   213   358   503   648   793   938  1083  1228  1373
## [17833]  1518  1663  1808  1953  2098  2243  2388  2533  2678  2823  2968  3113
## [17845]  3258  3403  3548  3693  3838  3983  4128  4273  4418  4563  4708  4853
## [17857]  4998  5143  5288  5433  5578  5723  5868  6013  6158  6303  6448  6593
## [17869]  6738  6883  7028  7173  7318  7463  7608  7753  7898  8043  8188  8333
## [17881]  8478  8623  8768  8913  9058  9203  9348  9493  9638  9783  9928 10073
## [17893] 10218 10363 10508 10653 10798 10943 11088 11233 11378 11523 11668 11813
## [17905] 11958 12103 12248 12393 12538 12683 12828 12973 13118 13263 13408 13553
## [17917] 13698 13843 13988 14133 14278 14423 14568 14713 14858 15003 15148 15293
## [17929] 15438 15583 15728 15873 16018 16163 16308 16453 16598 16743 16888 17033
## [17941] 17178 17323 17468 17613 17758 17903 18048 18193 18338 18483 18628 18773
## [17953] 18918 19063 19208 19353 19498 19643 19788 19933 20078 20223 20368 20513
## [17965] 20658 20803 20948 21093 21238 21383 21528 21673 21818 21963 22108 22253
## [17977] 22398 22543 22688 22833 22978 23123 23268 23413 23558 23703 23848 23993
## [17989] 24138 24283 24428 24573 24718 24863 25008 25153 25298 25443 25588 25733
## [18001] 25878 26023 26168 26313 26458 26603 26748 26893 27038 27183 27328 27473
## [18013] 27618 27763 27908 28053 28198 28343 28488 28633 28778 28923 29068 29213
## [18025] 29358 29503 29648 29793 29938 30083 30228 30373 30518 30663 30808 30953
## [18037] 31098 31243 31388 31533 31678 31823 31968 32113 32258 32403 32548 32693
## [18049] 32838 32983 33128 33273 33418 33563 33708 33853 33998 34143 34288 34433
## [18061] 34578 34723 34868 35013 35158 35303 35448 35593 35738 35883 36028 36173
## [18073] 36318 36463 36608 36753 36898 37043 37188 37333 37478 37623 37768 37913
## [18085] 38058 38203 38348 38493    69   214   359   504   649   794   939  1084
## [18097]  1229  1374  1519  1664  1809  1954  2099  2244  2389  2534  2679  2824
## [18109]  2969  3114  3259  3404  3549  3694  3839  3984  4129  4274  4419  4564
## [18121]  4709  4854  4999  5144  5289  5434  5579  5724  5869  6014  6159  6304
## [18133]  6449  6594  6739  6884  7029  7174  7319  7464  7609  7754  7899  8044
## [18145]  8189  8334  8479  8624  8769  8914  9059  9204  9349  9494  9639  9784
## [18157]  9929 10074 10219 10364 10509 10654 10799 10944 11089 11234 11379 11524
## [18169] 11669 11814 11959 12104 12249 12394 12539 12684 12829 12974 13119 13264
## [18181] 13409 13554 13699 13844 13989 14134 14279 14424 14569 14714 14859 15004
## [18193] 15149 15294 15439 15584 15729 15874 16019 16164 16309 16454 16599 16744
## [18205] 16889 17034 17179 17324 17469 17614 17759 17904 18049 18194 18339 18484
## [18217] 18629 18774 18919 19064 19209 19354 19499 19644 19789 19934 20079 20224
## [18229] 20369 20514 20659 20804 20949 21094 21239 21384 21529 21674 21819 21964
## [18241] 22109 22254 22399 22544 22689 22834 22979 23124 23269 23414 23559 23704
## [18253] 23849 23994 24139 24284 24429 24574 24719 24864 25009 25154 25299 25444
## [18265] 25589 25734 25879 26024 26169 26314 26459 26604 26749 26894 27039 27184
## [18277] 27329 27474 27619 27764 27909 28054 28199 28344 28489 28634 28779 28924
## [18289] 29069 29214 29359 29504 29649 29794 29939 30084 30229 30374 30519 30664
## [18301] 30809 30954 31099 31244 31389 31534 31679 31824 31969 32114 32259 32404
## [18313] 32549 32694 32839 32984 33129 33274 33419 33564 33709 33854 33999 34144
## [18325] 34289 34434 34579 34724 34869 35014 35159 35304 35449 35594 35739 35884
## [18337] 36029 36174 36319 36464 36609 36754 36899 37044 37189 37334 37479 37624
## [18349] 37769 37914 38059 38204 38349 38494    70   215   360   505   650   795
## [18361]   940  1085  1230  1375  1520  1665  1810  1955  2100  2245  2390  2535
## [18373]  2680  2825  2970  3115  3260  3405  3550  3695  3840  3985  4130  4275
## [18385]  4420  4565  4710  4855  5000  5145  5290  5435  5580  5725  5870  6015
## [18397]  6160  6305  6450  6595  6740  6885  7030  7175  7320  7465  7610  7755
## [18409]  7900  8045  8190  8335  8480  8625  8770  8915  9060  9205  9350  9495
## [18421]  9640  9785  9930 10075 10220 10365 10510 10655 10800 10945 11090 11235
## [18433] 11380 11525 11670 11815 11960 12105 12250 12395 12540 12685 12830 12975
## [18445] 13120 13265 13410 13555 13700 13845 13990 14135 14280 14425 14570 14715
## [18457] 14860 15005 15150 15295 15440 15585 15730 15875 16020 16165 16310 16455
## [18469] 16600 16745 16890 17035 17180 17325 17470 17615 17760 17905 18050 18195
## [18481] 18340 18485 18630 18775 18920 19065 19210 19355 19500 19645 19790 19935
## [18493] 20080 20225 20370 20515 20660 20805 20950 21095 21240 21385 21530 21675
## [18505] 21820 21965 22110 22255 22400 22545 22690 22835 22980 23125 23270 23415
## [18517] 23560 23705 23850 23995 24140 24285 24430 24575 24720 24865 25010 25155
## [18529] 25300 25445 25590 25735 25880 26025 26170 26315 26460 26605 26750 26895
## [18541] 27040 27185 27330 27475 27620 27765 27910 28055 28200 28345 28490 28635
## [18553] 28780 28925 29070 29215 29360 29505 29650 29795 29940 30085 30230 30375
## [18565] 30520 30665 30810 30955 31100 31245 31390 31535 31680 31825 31970 32115
## [18577] 32260 32405 32550 32695 32840 32985 33130 33275 33420 33565 33710 33855
## [18589] 34000 34145 34290 34435 34580 34725 34870 35015 35160 35305 35450 35595
## [18601] 35740 35885 36030 36175 36320 36465 36610 36755 36900 37045 37190 37335
## [18613] 37480 37625 37770 37915 38060 38205 38350 38495    71   216   361   506
## [18625]   651   796   941  1086  1231  1376  1521  1666  1811  1956  2101  2246
## [18637]  2391  2536  2681  2826  2971  3116  3261  3406  3551  3696  3841  3986
## [18649]  4131  4276  4421  4566  4711  4856  5001  5146  5291  5436  5581  5726
## [18661]  5871  6016  6161  6306  6451  6596  6741  6886  7031  7176  7321  7466
## [18673]  7611  7756  7901  8046  8191  8336  8481  8626  8771  8916  9061  9206
## [18685]  9351  9496  9641  9786  9931 10076 10221 10366 10511 10656 10801 10946
## [18697] 11091 11236 11381 11526 11671 11816 11961 12106 12251 12396 12541 12686
## [18709] 12831 12976 13121 13266 13411 13556 13701 13846 13991 14136 14281 14426
## [18721] 14571 14716 14861 15006 15151 15296 15441 15586 15731 15876 16021 16166
## [18733] 16311 16456 16601 16746 16891 17036 17181 17326 17471 17616 17761 17906
## [18745] 18051 18196 18341 18486 18631 18776 18921 19066 19211 19356 19501 19646
## [18757] 19791 19936 20081 20226 20371 20516 20661 20806 20951 21096 21241 21386
## [18769] 21531 21676 21821 21966 22111 22256 22401 22546 22691 22836 22981 23126
## [18781] 23271 23416 23561 23706 23851 23996 24141 24286 24431 24576 24721 24866
## [18793] 25011 25156 25301 25446 25591 25736 25881 26026 26171 26316 26461 26606
## [18805] 26751 26896 27041 27186 27331 27476 27621 27766 27911 28056 28201 28346
## [18817] 28491 28636 28781 28926 29071 29216 29361 29506 29651 29796 29941 30086
## [18829] 30231 30376 30521 30666 30811 30956 31101 31246 31391 31536 31681 31826
## [18841] 31971 32116 32261 32406 32551 32696 32841 32986 33131 33276 33421 33566
## [18853] 33711 33856 34001 34146 34291 34436 34581 34726 34871 35016 35161 35306
## [18865] 35451 35596 35741 35886 36031 36176 36321 36466 36611 36756 36901 37046
## [18877] 37191 37336 37481 37626 37771 37916 38061 38206 38351 38496    72   217
## [18889]   362   507   652   797   942  1087  1232  1377  1522  1667  1812  1957
## [18901]  2102  2247  2392  2537  2682  2827  2972  3117  3262  3407  3552  3697
## [18913]  3842  3987  4132  4277  4422  4567  4712  4857  5002  5147  5292  5437
## [18925]  5582  5727  5872  6017  6162  6307  6452  6597  6742  6887  7032  7177
## [18937]  7322  7467  7612  7757  7902  8047  8192  8337  8482  8627  8772  8917
## [18949]  9062  9207  9352  9497  9642  9787  9932 10077 10222 10367 10512 10657
## [18961] 10802 10947 11092 11237 11382 11527 11672 11817 11962 12107 12252 12397
## [18973] 12542 12687 12832 12977 13122 13267 13412 13557 13702 13847 13992 14137
## [18985] 14282 14427 14572 14717 14862 15007 15152 15297 15442 15587 15732 15877
## [18997] 16022 16167 16312 16457 16602 16747 16892 17037 17182 17327 17472 17617
## [19009] 17762 17907 18052 18197 18342 18487 18632 18777 18922 19067 19212 19357
## [19021] 19502 19647 19792 19937 20082 20227 20372 20517 20662 20807 20952 21097
## [19033] 21242 21387 21532 21677 21822 21967 22112 22257 22402 22547 22692 22837
## [19045] 22982 23127 23272 23417 23562 23707 23852 23997 24142 24287 24432 24577
## [19057] 24722 24867 25012 25157 25302 25447 25592 25737 25882 26027 26172 26317
## [19069] 26462 26607 26752 26897 27042 27187 27332 27477 27622 27767 27912 28057
## [19081] 28202 28347 28492 28637 28782 28927 29072 29217 29362 29507 29652 29797
## [19093] 29942 30087 30232 30377 30522 30667 30812 30957 31102 31247 31392 31537
## [19105] 31682 31827 31972 32117 32262 32407 32552 32697 32842 32987 33132 33277
## [19117] 33422 33567 33712 33857 34002 34147 34292 34437 34582 34727 34872 35017
## [19129] 35162 35307 35452 35597 35742 35887 36032 36177 36322 36467 36612 36757
## [19141] 36902 37047 37192 37337 37482 37627 37772 37917 38062 38207 38352 38497
## [19153]    73   218   363   508   653   798   943  1088  1233  1378  1523  1668
## [19165]  1813  1958  2103  2248  2393  2538  2683  2828  2973  3118  3263  3408
## [19177]  3553  3698  3843  3988  4133  4278  4423  4568  4713  4858  5003  5148
## [19189]  5293  5438  5583  5728  5873  6018  6163  6308  6453  6598  6743  6888
## [19201]  7033  7178  7323  7468  7613  7758  7903  8048  8193  8338  8483  8628
## [19213]  8773  8918  9063  9208  9353  9498  9643  9788  9933 10078 10223 10368
## [19225] 10513 10658 10803 10948 11093 11238 11383 11528 11673 11818 11963 12108
## [19237] 12253 12398 12543 12688 12833 12978 13123 13268 13413 13558 13703 13848
## [19249] 13993 14138 14283 14428 14573 14718 14863 15008 15153 15298 15443 15588
## [19261] 15733 15878 16023 16168 16313 16458 16603 16748 16893 17038 17183 17328
## [19273] 17473 17618 17763 17908 18053 18198 18343 18488 18633 18778 18923 19068
## [19285] 19213 19358 19503 19648 19793 19938 20083 20228 20373 20518 20663 20808
## [19297] 20953 21098 21243 21388 21533 21678 21823 21968 22113 22258 22403 22548
## [19309] 22693 22838 22983 23128 23273 23418 23563 23708 23853 23998 24143 24288
## [19321] 24433 24578 24723 24868 25013 25158 25303 25448 25593 25738 25883 26028
## [19333] 26173 26318 26463 26608 26753 26898 27043 27188 27333 27478 27623 27768
## [19345] 27913 28058 28203 28348 28493 28638 28783 28928 29073 29218 29363 29508
## [19357] 29653 29798 29943 30088 30233 30378 30523 30668 30813 30958 31103 31248
## [19369] 31393 31538 31683 31828 31973 32118 32263 32408 32553 32698 32843 32988
## [19381] 33133 33278 33423 33568 33713 33858 34003 34148 34293 34438 34583 34728
## [19393] 34873 35018 35163 35308 35453 35598 35743 35888 36033 36178 36323 36468
## [19405] 36613 36758 36903 37048 37193 37338 37483 37628 37773 37918 38063 38208
## [19417] 38353 38498    74   219   364   509   654   799   944  1089  1234  1379
## [19429]  1524  1669  1814  1959  2104  2249  2394  2539  2684  2829  2974  3119
## [19441]  3264  3409  3554  3699  3844  3989  4134  4279  4424  4569  4714  4859
## [19453]  5004  5149  5294  5439  5584  5729  5874  6019  6164  6309  6454  6599
## [19465]  6744  6889  7034  7179  7324  7469  7614  7759  7904  8049  8194  8339
## [19477]  8484  8629  8774  8919  9064  9209  9354  9499  9644  9789  9934 10079
## [19489] 10224 10369 10514 10659 10804 10949 11094 11239 11384 11529 11674 11819
## [19501] 11964 12109 12254 12399 12544 12689 12834 12979 13124 13269 13414 13559
## [19513] 13704 13849 13994 14139 14284 14429 14574 14719 14864 15009 15154 15299
## [19525] 15444 15589 15734 15879 16024 16169 16314 16459 16604 16749 16894 17039
## [19537] 17184 17329 17474 17619 17764 17909 18054 18199 18344 18489 18634 18779
## [19549] 18924 19069 19214 19359 19504 19649 19794 19939 20084 20229 20374 20519
## [19561] 20664 20809 20954 21099 21244 21389 21534 21679 21824 21969 22114 22259
## [19573] 22404 22549 22694 22839 22984 23129 23274 23419 23564 23709 23854 23999
## [19585] 24144 24289 24434 24579 24724 24869 25014 25159 25304 25449 25594 25739
## [19597] 25884 26029 26174 26319 26464 26609 26754 26899 27044 27189 27334 27479
## [19609] 27624 27769 27914 28059 28204 28349 28494 28639 28784 28929 29074 29219
## [19621] 29364 29509 29654 29799 29944 30089 30234 30379 30524 30669 30814 30959
## [19633] 31104 31249 31394 31539 31684 31829 31974 32119 32264 32409 32554 32699
## [19645] 32844 32989 33134 33279 33424 33569 33714 33859 34004 34149 34294 34439
## [19657] 34584 34729 34874 35019 35164 35309 35454 35599 35744 35889 36034 36179
## [19669] 36324 36469 36614 36759 36904 37049 37194 37339 37484 37629 37774 37919
## [19681] 38064 38209 38354 38499    75   220   365   510   655   800   945  1090
## [19693]  1235  1380  1525  1670  1815  1960  2105  2250  2395  2540  2685  2830
## [19705]  2975  3120  3265  3410  3555  3700  3845  3990  4135  4280  4425  4570
## [19717]  4715  4860  5005  5150  5295  5440  5585  5730  5875  6020  6165  6310
## [19729]  6455  6600  6745  6890  7035  7180  7325  7470  7615  7760  7905  8050
## [19741]  8195  8340  8485  8630  8775  8920  9065  9210  9355  9500  9645  9790
## [19753]  9935 10080 10225 10370 10515 10660 10805 10950 11095 11240 11385 11530
## [19765] 11675 11820 11965 12110 12255 12400 12545 12690 12835 12980 13125 13270
## [19777] 13415 13560 13705 13850 13995 14140 14285 14430 14575 14720 14865 15010
## [19789] 15155 15300 15445 15590 15735 15880 16025 16170 16315 16460 16605 16750
## [19801] 16895 17040 17185 17330 17475 17620 17765 17910 18055 18200 18345 18490
## [19813] 18635 18780 18925 19070 19215 19360 19505 19650 19795 19940 20085 20230
## [19825] 20375 20520 20665 20810 20955 21100 21245 21390 21535 21680 21825 21970
## [19837] 22115 22260 22405 22550 22695 22840 22985 23130 23275 23420 23565 23710
## [19849] 23855 24000 24145 24290 24435 24580 24725 24870 25015 25160 25305 25450
## [19861] 25595 25740 25885 26030 26175 26320 26465 26610 26755 26900 27045 27190
## [19873] 27335 27480 27625 27770 27915 28060 28205 28350 28495 28640 28785 28930
## [19885] 29075 29220 29365 29510 29655 29800 29945 30090 30235 30380 30525 30670
## [19897] 30815 30960 31105 31250 31395 31540 31685 31830 31975 32120 32265 32410
## [19909] 32555 32700 32845 32990 33135 33280 33425 33570 33715 33860 34005 34150
## [19921] 34295 34440 34585 34730 34875 35020 35165 35310 35455 35600 35745 35890
## [19933] 36035 36180 36325 36470 36615 36760 36905 37050 37195 37340 37485 37630
## [19945] 37775 37920 38065 38210 38355 38500    76   221   366   511   656   801
## [19957]   946  1091  1236  1381  1526  1671  1816  1961  2106  2251  2396  2541
## [19969]  2686  2831  2976  3121  3266  3411  3556  3701  3846  3991  4136  4281
## [19981]  4426  4571  4716  4861  5006  5151  5296  5441  5586  5731  5876  6021
## [19993]  6166  6311  6456  6601  6746  6891  7036  7181  7326  7471  7616  7761
## [20005]  7906  8051  8196  8341  8486  8631  8776  8921  9066  9211  9356  9501
## [20017]  9646  9791  9936 10081 10226 10371 10516 10661 10806 10951 11096 11241
## [20029] 11386 11531 11676 11821 11966 12111 12256 12401 12546 12691 12836 12981
## [20041] 13126 13271 13416 13561 13706 13851 13996 14141 14286 14431 14576 14721
## [20053] 14866 15011 15156 15301 15446 15591 15736 15881 16026 16171 16316 16461
## [20065] 16606 16751 16896 17041 17186 17331 17476 17621 17766 17911 18056 18201
## [20077] 18346 18491 18636 18781 18926 19071 19216 19361 19506 19651 19796 19941
## [20089] 20086 20231 20376 20521 20666 20811 20956 21101 21246 21391 21536 21681
## [20101] 21826 21971 22116 22261 22406 22551 22696 22841 22986 23131 23276 23421
## [20113] 23566 23711 23856 24001 24146 24291 24436 24581 24726 24871 25016 25161
## [20125] 25306 25451 25596 25741 25886 26031 26176 26321 26466 26611 26756 26901
## [20137] 27046 27191 27336 27481 27626 27771 27916 28061 28206 28351 28496 28641
## [20149] 28786 28931 29076 29221 29366 29511 29656 29801 29946 30091 30236 30381
## [20161] 30526 30671 30816 30961 31106 31251 31396 31541 31686 31831 31976 32121
## [20173] 32266 32411 32556 32701 32846 32991 33136 33281 33426 33571 33716 33861
## [20185] 34006 34151 34296 34441 34586 34731 34876 35021 35166 35311 35456 35601
## [20197] 35746 35891 36036 36181 36326 36471 36616 36761 36906 37051 37196 37341
## [20209] 37486 37631 37776 37921 38066 38211 38356 38501    77   222   367   512
## [20221]   657   802   947  1092  1237  1382  1527  1672  1817  1962  2107  2252
## [20233]  2397  2542  2687  2832  2977  3122  3267  3412  3557  3702  3847  3992
## [20245]  4137  4282  4427  4572  4717  4862  5007  5152  5297  5442  5587  5732
## [20257]  5877  6022  6167  6312  6457  6602  6747  6892  7037  7182  7327  7472
## [20269]  7617  7762  7907  8052  8197  8342  8487  8632  8777  8922  9067  9212
## [20281]  9357  9502  9647  9792  9937 10082 10227 10372 10517 10662 10807 10952
## [20293] 11097 11242 11387 11532 11677 11822 11967 12112 12257 12402 12547 12692
## [20305] 12837 12982 13127 13272 13417 13562 13707 13852 13997 14142 14287 14432
## [20317] 14577 14722 14867 15012 15157 15302 15447 15592 15737 15882 16027 16172
## [20329] 16317 16462 16607 16752 16897 17042 17187 17332 17477 17622 17767 17912
## [20341] 18057 18202 18347 18492 18637 18782 18927 19072 19217 19362 19507 19652
## [20353] 19797 19942 20087 20232 20377 20522 20667 20812 20957 21102 21247 21392
## [20365] 21537 21682 21827 21972 22117 22262 22407 22552 22697 22842 22987 23132
## [20377] 23277 23422 23567 23712 23857 24002 24147 24292 24437 24582 24727 24872
## [20389] 25017 25162 25307 25452 25597 25742 25887 26032 26177 26322 26467 26612
## [20401] 26757 26902 27047 27192 27337 27482 27627 27772 27917 28062 28207 28352
## [20413] 28497 28642 28787 28932 29077 29222 29367 29512 29657 29802 29947 30092
## [20425] 30237 30382 30527 30672 30817 30962 31107 31252 31397 31542 31687 31832
## [20437] 31977 32122 32267 32412 32557 32702 32847 32992 33137 33282 33427 33572
## [20449] 33717 33862 34007 34152 34297 34442 34587 34732 34877 35022 35167 35312
## [20461] 35457 35602 35747 35892 36037 36182 36327 36472 36617 36762 36907 37052
## [20473] 37197 37342 37487 37632 37777 37922 38067 38212 38357 38502    78   223
## [20485]   368   513   658   803   948  1093  1238  1383  1528  1673  1818  1963
## [20497]  2108  2253  2398  2543  2688  2833  2978  3123  3268  3413  3558  3703
## [20509]  3848  3993  4138  4283  4428  4573  4718  4863  5008  5153  5298  5443
## [20521]  5588  5733  5878  6023  6168  6313  6458  6603  6748  6893  7038  7183
## [20533]  7328  7473  7618  7763  7908  8053  8198  8343  8488  8633  8778  8923
## [20545]  9068  9213  9358  9503  9648  9793  9938 10083 10228 10373 10518 10663
## [20557] 10808 10953 11098 11243 11388 11533 11678 11823 11968 12113 12258 12403
## [20569] 12548 12693 12838 12983 13128 13273 13418 13563 13708 13853 13998 14143
## [20581] 14288 14433 14578 14723 14868 15013 15158 15303 15448 15593 15738 15883
## [20593] 16028 16173 16318 16463 16608 16753 16898 17043 17188 17333 17478 17623
## [20605] 17768 17913 18058 18203 18348 18493 18638 18783 18928 19073 19218 19363
## [20617] 19508 19653 19798 19943 20088 20233 20378 20523 20668 20813 20958 21103
## [20629] 21248 21393 21538 21683 21828 21973 22118 22263 22408 22553 22698 22843
## [20641] 22988 23133 23278 23423 23568 23713 23858 24003 24148 24293 24438 24583
## [20653] 24728 24873 25018 25163 25308 25453 25598 25743 25888 26033 26178 26323
## [20665] 26468 26613 26758 26903 27048 27193 27338 27483 27628 27773 27918 28063
## [20677] 28208 28353 28498 28643 28788 28933 29078 29223 29368 29513 29658 29803
## [20689] 29948 30093 30238 30383 30528 30673 30818 30963 31108 31253 31398 31543
## [20701] 31688 31833 31978 32123 32268 32413 32558 32703 32848 32993 33138 33283
## [20713] 33428 33573 33718 33863 34008 34153 34298 34443 34588 34733 34878 35023
## [20725] 35168 35313 35458 35603 35748 35893 36038 36183 36328 36473 36618 36763
## [20737] 36908 37053 37198 37343 37488 37633 37778 37923 38068 38213 38358 38503
## [20749]    79   224   369   514   659   804   949  1094  1239  1384  1529  1674
## [20761]  1819  1964  2109  2254  2399  2544  2689  2834  2979  3124  3269  3414
## [20773]  3559  3704  3849  3994  4139  4284  4429  4574  4719  4864  5009  5154
## [20785]  5299  5444  5589  5734  5879  6024  6169  6314  6459  6604  6749  6894
## [20797]  7039  7184  7329  7474  7619  7764  7909  8054  8199  8344  8489  8634
## [20809]  8779  8924  9069  9214  9359  9504  9649  9794  9939 10084 10229 10374
## [20821] 10519 10664 10809 10954 11099 11244 11389 11534 11679 11824 11969 12114
## [20833] 12259 12404 12549 12694 12839 12984 13129 13274 13419 13564 13709 13854
## [20845] 13999 14144 14289 14434 14579 14724 14869 15014 15159 15304 15449 15594
## [20857] 15739 15884 16029 16174 16319 16464 16609 16754 16899 17044 17189 17334
## [20869] 17479 17624 17769 17914 18059 18204 18349 18494 18639 18784 18929 19074
## [20881] 19219 19364 19509 19654 19799 19944 20089 20234 20379 20524 20669 20814
## [20893] 20959 21104 21249 21394 21539 21684 21829 21974 22119 22264 22409 22554
## [20905] 22699 22844 22989 23134 23279 23424 23569 23714 23859 24004 24149 24294
## [20917] 24439 24584 24729 24874 25019 25164 25309 25454 25599 25744 25889 26034
## [20929] 26179 26324 26469 26614 26759 26904 27049 27194 27339 27484 27629 27774
## [20941] 27919 28064 28209 28354 28499 28644 28789 28934 29079 29224 29369 29514
## [20953] 29659 29804 29949 30094 30239 30384 30529 30674 30819 30964 31109 31254
## [20965] 31399 31544 31689 31834 31979 32124 32269 32414 32559 32704 32849 32994
## [20977] 33139 33284 33429 33574 33719 33864 34009 34154 34299 34444 34589 34734
## [20989] 34879 35024 35169 35314 35459 35604 35749 35894 36039 36184 36329 36474
## [21001] 36619 36764 36909 37054 37199 37344 37489 37634 37779 37924 38069 38214
## [21013] 38359 38504    80   225   370   515   660   805   950  1095  1240  1385
## [21025]  1530  1675  1820  1965  2110  2255  2400  2545  2690  2835  2980  3125
## [21037]  3270  3415  3560  3705  3850  3995  4140  4285  4430  4575  4720  4865
## [21049]  5010  5155  5300  5445  5590  5735  5880  6025  6170  6315  6460  6605
## [21061]  6750  6895  7040  7185  7330  7475  7620  7765  7910  8055  8200  8345
## [21073]  8490  8635  8780  8925  9070  9215  9360  9505  9650  9795  9940 10085
## [21085] 10230 10375 10520 10665 10810 10955 11100 11245 11390 11535 11680 11825
## [21097] 11970 12115 12260 12405 12550 12695 12840 12985 13130 13275 13420 13565
## [21109] 13710 13855 14000 14145 14290 14435 14580 14725 14870 15015 15160 15305
## [21121] 15450 15595 15740 15885 16030 16175 16320 16465 16610 16755 16900 17045
## [21133] 17190 17335 17480 17625 17770 17915 18060 18205 18350 18495 18640 18785
## [21145] 18930 19075 19220 19365 19510 19655 19800 19945 20090 20235 20380 20525
## [21157] 20670 20815 20960 21105 21250 21395 21540 21685 21830 21975 22120 22265
## [21169] 22410 22555 22700 22845 22990 23135 23280 23425 23570 23715 23860 24005
## [21181] 24150 24295 24440 24585 24730 24875 25020 25165 25310 25455 25600 25745
## [21193] 25890 26035 26180 26325 26470 26615 26760 26905 27050 27195 27340 27485
## [21205] 27630 27775 27920 28065 28210 28355 28500 28645 28790 28935 29080 29225
## [21217] 29370 29515 29660 29805 29950 30095 30240 30385 30530 30675 30820 30965
## [21229] 31110 31255 31400 31545 31690 31835 31980 32125 32270 32415 32560 32705
## [21241] 32850 32995 33140 33285 33430 33575 33720 33865 34010 34155 34300 34445
## [21253] 34590 34735 34880 35025 35170 35315 35460 35605 35750 35895 36040 36185
## [21265] 36330 36475 36620 36765 36910 37055 37200 37345 37490 37635 37780 37925
## [21277] 38070 38215 38360 38505    81   226   371   516   661   806   951  1096
## [21289]  1241  1386  1531  1676  1821  1966  2111  2256  2401  2546  2691  2836
## [21301]  2981  3126  3271  3416  3561  3706  3851  3996  4141  4286  4431  4576
## [21313]  4721  4866  5011  5156  5301  5446  5591  5736  5881  6026  6171  6316
## [21325]  6461  6606  6751  6896  7041  7186  7331  7476  7621  7766  7911  8056
## [21337]  8201  8346  8491  8636  8781  8926  9071  9216  9361  9506  9651  9796
## [21349]  9941 10086 10231 10376 10521 10666 10811 10956 11101 11246 11391 11536
## [21361] 11681 11826 11971 12116 12261 12406 12551 12696 12841 12986 13131 13276
## [21373] 13421 13566 13711 13856 14001 14146 14291 14436 14581 14726 14871 15016
## [21385] 15161 15306 15451 15596 15741 15886 16031 16176 16321 16466 16611 16756
## [21397] 16901 17046 17191 17336 17481 17626 17771 17916 18061 18206 18351 18496
## [21409] 18641 18786 18931 19076 19221 19366 19511 19656 19801 19946 20091 20236
## [21421] 20381 20526 20671 20816 20961 21106 21251 21396 21541 21686 21831 21976
## [21433] 22121 22266 22411 22556 22701 22846 22991 23136 23281 23426 23571 23716
## [21445] 23861 24006 24151 24296 24441 24586 24731 24876 25021 25166 25311 25456
## [21457] 25601 25746 25891 26036 26181 26326 26471 26616 26761 26906 27051 27196
## [21469] 27341 27486 27631 27776 27921 28066 28211 28356 28501 28646 28791 28936
## [21481] 29081 29226 29371 29516 29661 29806 29951 30096 30241 30386 30531 30676
## [21493] 30821 30966 31111 31256 31401 31546 31691 31836 31981 32126 32271 32416
## [21505] 32561 32706 32851 32996 33141 33286 33431 33576 33721 33866 34011 34156
## [21517] 34301 34446 34591 34736 34881 35026 35171 35316 35461 35606 35751 35896
## [21529] 36041 36186 36331 36476 36621 36766 36911 37056 37201 37346 37491 37636
## [21541] 37781 37926 38071 38216 38361 38506    82   227   372   517   662   807
## [21553]   952  1097  1242  1387  1532  1677  1822  1967  2112  2257  2402  2547
## [21565]  2692  2837  2982  3127  3272  3417  3562  3707  3852  3997  4142  4287
## [21577]  4432  4577  4722  4867  5012  5157  5302  5447  5592  5737  5882  6027
## [21589]  6172  6317  6462  6607  6752  6897  7042  7187  7332  7477  7622  7767
## [21601]  7912  8057  8202  8347  8492  8637  8782  8927  9072  9217  9362  9507
## [21613]  9652  9797  9942 10087 10232 10377 10522 10667 10812 10957 11102 11247
## [21625] 11392 11537 11682 11827 11972 12117 12262 12407 12552 12697 12842 12987
## [21637] 13132 13277 13422 13567 13712 13857 14002 14147 14292 14437 14582 14727
## [21649] 14872 15017 15162 15307 15452 15597 15742 15887 16032 16177 16322 16467
## [21661] 16612 16757 16902 17047 17192 17337 17482 17627 17772 17917 18062 18207
## [21673] 18352 18497 18642 18787 18932 19077 19222 19367 19512 19657 19802 19947
## [21685] 20092 20237 20382 20527 20672 20817 20962 21107 21252 21397 21542 21687
## [21697] 21832 21977 22122 22267 22412 22557 22702 22847 22992 23137 23282 23427
## [21709] 23572 23717 23862 24007 24152 24297 24442 24587 24732 24877 25022 25167
## [21721] 25312 25457 25602 25747 25892 26037 26182 26327 26472 26617 26762 26907
## [21733] 27052 27197 27342 27487 27632 27777 27922 28067 28212 28357 28502 28647
## [21745] 28792 28937 29082 29227 29372 29517 29662 29807 29952 30097 30242 30387
## [21757] 30532 30677 30822 30967 31112 31257 31402 31547 31692 31837 31982 32127
## [21769] 32272 32417 32562 32707 32852 32997 33142 33287 33432 33577 33722 33867
## [21781] 34012 34157 34302 34447 34592 34737 34882 35027 35172 35317 35462 35607
## [21793] 35752 35897 36042 36187 36332 36477 36622 36767 36912 37057 37202 37347
## [21805] 37492 37637 37782 37927 38072 38217 38362 38507    83   228   373   518
## [21817]   663   808   953  1098  1243  1388  1533  1678  1823  1968  2113  2258
## [21829]  2403  2548  2693  2838  2983  3128  3273  3418  3563  3708  3853  3998
## [21841]  4143  4288  4433  4578  4723  4868  5013  5158  5303  5448  5593  5738
## [21853]  5883  6028  6173  6318  6463  6608  6753  6898  7043  7188  7333  7478
## [21865]  7623  7768  7913  8058  8203  8348  8493  8638  8783  8928  9073  9218
## [21877]  9363  9508  9653  9798  9943 10088 10233 10378 10523 10668 10813 10958
## [21889] 11103 11248 11393 11538 11683 11828 11973 12118 12263 12408 12553 12698
## [21901] 12843 12988 13133 13278 13423 13568 13713 13858 14003 14148 14293 14438
## [21913] 14583 14728 14873 15018 15163 15308 15453 15598 15743 15888 16033 16178
## [21925] 16323 16468 16613 16758 16903 17048 17193 17338 17483 17628 17773 17918
## [21937] 18063 18208 18353 18498 18643 18788 18933 19078 19223 19368 19513 19658
## [21949] 19803 19948 20093 20238 20383 20528 20673 20818 20963 21108 21253 21398
## [21961] 21543 21688 21833 21978 22123 22268 22413 22558 22703 22848 22993 23138
## [21973] 23283 23428 23573 23718 23863 24008 24153 24298 24443 24588 24733 24878
## [21985] 25023 25168 25313 25458 25603 25748 25893 26038 26183 26328 26473 26618
## [21997] 26763 26908 27053 27198 27343 27488 27633 27778 27923 28068 28213 28358
## [22009] 28503 28648 28793 28938 29083 29228 29373 29518 29663 29808 29953 30098
## [22021] 30243 30388 30533 30678 30823 30968 31113 31258 31403 31548 31693 31838
## [22033] 31983 32128 32273 32418 32563 32708 32853 32998 33143 33288 33433 33578
## [22045] 33723 33868 34013 34158 34303 34448 34593 34738 34883 35028 35173 35318
## [22057] 35463 35608 35753 35898 36043 36188 36333 36478 36623 36768 36913 37058
## [22069] 37203 37348 37493 37638 37783 37928 38073 38218 38363 38508    84   229
## [22081]   374   519   664   809   954  1099  1244  1389  1534  1679  1824  1969
## [22093]  2114  2259  2404  2549  2694  2839  2984  3129  3274  3419  3564  3709
## [22105]  3854  3999  4144  4289  4434  4579  4724  4869  5014  5159  5304  5449
## [22117]  5594  5739  5884  6029  6174  6319  6464  6609  6754  6899  7044  7189
## [22129]  7334  7479  7624  7769  7914  8059  8204  8349  8494  8639  8784  8929
## [22141]  9074  9219  9364  9509  9654  9799  9944 10089 10234 10379 10524 10669
## [22153] 10814 10959 11104 11249 11394 11539 11684 11829 11974 12119 12264 12409
## [22165] 12554 12699 12844 12989 13134 13279 13424 13569 13714 13859 14004 14149
## [22177] 14294 14439 14584 14729 14874 15019 15164 15309 15454 15599 15744 15889
## [22189] 16034 16179 16324 16469 16614 16759 16904 17049 17194 17339 17484 17629
## [22201] 17774 17919 18064 18209 18354 18499 18644 18789 18934 19079 19224 19369
## [22213] 19514 19659 19804 19949 20094 20239 20384 20529 20674 20819 20964 21109
## [22225] 21254 21399 21544 21689 21834 21979 22124 22269 22414 22559 22704 22849
## [22237] 22994 23139 23284 23429 23574 23719 23864 24009 24154 24299 24444 24589
## [22249] 24734 24879 25024 25169 25314 25459 25604 25749 25894 26039 26184 26329
## [22261] 26474 26619 26764 26909 27054 27199 27344 27489 27634 27779 27924 28069
## [22273] 28214 28359 28504 28649 28794 28939 29084 29229 29374 29519 29664 29809
## [22285] 29954 30099 30244 30389 30534 30679 30824 30969 31114 31259 31404 31549
## [22297] 31694 31839 31984 32129 32274 32419 32564 32709 32854 32999 33144 33289
## [22309] 33434 33579 33724 33869 34014 34159 34304 34449 34594 34739 34884 35029
## [22321] 35174 35319 35464 35609 35754 35899 36044 36189 36334 36479 36624 36769
## [22333] 36914 37059 37204 37349 37494 37639 37784 37929 38074 38219 38364 38509
## [22345]    85   230   375   520   665   810   955  1100  1245  1390  1535  1680
## [22357]  1825  1970  2115  2260  2405  2550  2695  2840  2985  3130  3275  3420
## [22369]  3565  3710  3855  4000  4145  4290  4435  4580  4725  4870  5015  5160
## [22381]  5305  5450  5595  5740  5885  6030  6175  6320  6465  6610  6755  6900
## [22393]  7045  7190  7335  7480  7625  7770  7915  8060  8205  8350  8495  8640
## [22405]  8785  8930  9075  9220  9365  9510  9655  9800  9945 10090 10235 10380
## [22417] 10525 10670 10815 10960 11105 11250 11395 11540 11685 11830 11975 12120
## [22429] 12265 12410 12555 12700 12845 12990 13135 13280 13425 13570 13715 13860
## [22441] 14005 14150 14295 14440 14585 14730 14875 15020 15165 15310 15455 15600
## [22453] 15745 15890 16035 16180 16325 16470 16615 16760 16905 17050 17195 17340
## [22465] 17485 17630 17775 17920 18065 18210 18355 18500 18645 18790 18935 19080
## [22477] 19225 19370 19515 19660 19805 19950 20095 20240 20385 20530 20675 20820
## [22489] 20965 21110 21255 21400 21545 21690 21835 21980 22125 22270 22415 22560
## [22501] 22705 22850 22995 23140 23285 23430 23575 23720 23865 24010 24155 24300
## [22513] 24445 24590 24735 24880 25025 25170 25315 25460 25605 25750 25895 26040
## [22525] 26185 26330 26475 26620 26765 26910 27055 27200 27345 27490 27635 27780
## [22537] 27925 28070 28215 28360 28505 28650 28795 28940 29085 29230 29375 29520
## [22549] 29665 29810 29955 30100 30245 30390 30535 30680 30825 30970 31115 31260
## [22561] 31405 31550 31695 31840 31985 32130 32275 32420 32565 32710 32855 33000
## [22573] 33145 33290 33435 33580 33725 33870 34015 34160 34305 34450 34595 34740
## [22585] 34885 35030 35175 35320 35465 35610 35755 35900 36045 36190 36335 36480
## [22597] 36625 36770 36915 37060 37205 37350 37495 37640 37785 37930 38075 38220
## [22609] 38365 38510    86   231   376   521   666   811   956  1101  1246  1391
## [22621]  1536  1681  1826  1971  2116  2261  2406  2551  2696  2841  2986  3131
## [22633]  3276  3421  3566  3711  3856  4001  4146  4291  4436  4581  4726  4871
## [22645]  5016  5161  5306  5451  5596  5741  5886  6031  6176  6321  6466  6611
## [22657]  6756  6901  7046  7191  7336  7481  7626  7771  7916  8061  8206  8351
## [22669]  8496  8641  8786  8931  9076  9221  9366  9511  9656  9801  9946 10091
## [22681] 10236 10381 10526 10671 10816 10961 11106 11251 11396 11541 11686 11831
## [22693] 11976 12121 12266 12411 12556 12701 12846 12991 13136 13281 13426 13571
## [22705] 13716 13861 14006 14151 14296 14441 14586 14731 14876 15021 15166 15311
## [22717] 15456 15601 15746 15891 16036 16181 16326 16471 16616 16761 16906 17051
## [22729] 17196 17341 17486 17631 17776 17921 18066 18211 18356 18501 18646 18791
## [22741] 18936 19081 19226 19371 19516 19661 19806 19951 20096 20241 20386 20531
## [22753] 20676 20821 20966 21111 21256 21401 21546 21691 21836 21981 22126 22271
## [22765] 22416 22561 22706 22851 22996 23141 23286 23431 23576 23721 23866 24011
## [22777] 24156 24301 24446 24591 24736 24881 25026 25171 25316 25461 25606 25751
## [22789] 25896 26041 26186 26331 26476 26621 26766 26911 27056 27201 27346 27491
## [22801] 27636 27781 27926 28071 28216 28361 28506 28651 28796 28941 29086 29231
## [22813] 29376 29521 29666 29811 29956 30101 30246 30391 30536 30681 30826 30971
## [22825] 31116 31261 31406 31551 31696 31841 31986 32131 32276 32421 32566 32711
## [22837] 32856 33001 33146 33291 33436 33581 33726 33871 34016 34161 34306 34451
## [22849] 34596 34741 34886 35031 35176 35321 35466 35611 35756 35901 36046 36191
## [22861] 36336 36481 36626 36771 36916 37061 37206 37351 37496 37641 37786 37931
## [22873] 38076 38221 38366 38511    87   232   377   522   667   812   957  1102
## [22885]  1247  1392  1537  1682  1827  1972  2117  2262  2407  2552  2697  2842
## [22897]  2987  3132  3277  3422  3567  3712  3857  4002  4147  4292  4437  4582
## [22909]  4727  4872  5017  5162  5307  5452  5597  5742  5887  6032  6177  6322
## [22921]  6467  6612  6757  6902  7047  7192  7337  7482  7627  7772  7917  8062
## [22933]  8207  8352  8497  8642  8787  8932  9077  9222  9367  9512  9657  9802
## [22945]  9947 10092 10237 10382 10527 10672 10817 10962 11107 11252 11397 11542
## [22957] 11687 11832 11977 12122 12267 12412 12557 12702 12847 12992 13137 13282
## [22969] 13427 13572 13717 13862 14007 14152 14297 14442 14587 14732 14877 15022
## [22981] 15167 15312 15457 15602 15747 15892 16037 16182 16327 16472 16617 16762
## [22993] 16907 17052 17197 17342 17487 17632 17777 17922 18067 18212 18357 18502
## [23005] 18647 18792 18937 19082 19227 19372 19517 19662 19807 19952 20097 20242
## [23017] 20387 20532 20677 20822 20967 21112 21257 21402 21547 21692 21837 21982
## [23029] 22127 22272 22417 22562 22707 22852 22997 23142 23287 23432 23577 23722
## [23041] 23867 24012 24157 24302 24447 24592 24737 24882 25027 25172 25317 25462
## [23053] 25607 25752 25897 26042 26187 26332 26477 26622 26767 26912 27057 27202
## [23065] 27347 27492 27637 27782 27927 28072 28217 28362 28507 28652 28797 28942
## [23077] 29087 29232 29377 29522 29667 29812 29957 30102 30247 30392 30537 30682
## [23089] 30827 30972 31117 31262 31407 31552 31697 31842 31987 32132 32277 32422
## [23101] 32567 32712 32857 33002 33147 33292 33437 33582 33727 33872 34017 34162
## [23113] 34307 34452 34597 34742 34887 35032 35177 35322 35467 35612 35757 35902
## [23125] 36047 36192 36337 36482 36627 36772 36917 37062 37207 37352 37497 37642
## [23137] 37787 37932 38077 38222 38367 38512    88   233   378   523   668   813
## [23149]   958  1103  1248  1393  1538  1683  1828  1973  2118  2263  2408  2553
## [23161]  2698  2843  2988  3133  3278  3423  3568  3713  3858  4003  4148  4293
## [23173]  4438  4583  4728  4873  5018  5163  5308  5453  5598  5743  5888  6033
## [23185]  6178  6323  6468  6613  6758  6903  7048  7193  7338  7483  7628  7773
## [23197]  7918  8063  8208  8353  8498  8643  8788  8933  9078  9223  9368  9513
## [23209]  9658  9803  9948 10093 10238 10383 10528 10673 10818 10963 11108 11253
## [23221] 11398 11543 11688 11833 11978 12123 12268 12413 12558 12703 12848 12993
## [23233] 13138 13283 13428 13573 13718 13863 14008 14153 14298 14443 14588 14733
## [23245] 14878 15023 15168 15313 15458 15603 15748 15893 16038 16183 16328 16473
## [23257] 16618 16763 16908 17053 17198 17343 17488 17633 17778 17923 18068 18213
## [23269] 18358 18503 18648 18793 18938 19083 19228 19373 19518 19663 19808 19953
## [23281] 20098 20243 20388 20533 20678 20823 20968 21113 21258 21403 21548 21693
## [23293] 21838 21983 22128 22273 22418 22563 22708 22853 22998 23143 23288 23433
## [23305] 23578 23723 23868 24013 24158 24303 24448 24593 24738 24883 25028 25173
## [23317] 25318 25463 25608 25753 25898 26043 26188 26333 26478 26623 26768 26913
## [23329] 27058 27203 27348 27493 27638 27783 27928 28073 28218 28363 28508 28653
## [23341] 28798 28943 29088 29233 29378 29523 29668 29813 29958 30103 30248 30393
## [23353] 30538 30683 30828 30973 31118 31263 31408 31553 31698 31843 31988 32133
## [23365] 32278 32423 32568 32713 32858 33003 33148 33293 33438 33583 33728 33873
## [23377] 34018 34163 34308 34453 34598 34743 34888 35033 35178 35323 35468 35613
## [23389] 35758 35903 36048 36193 36338 36483 36628 36773 36918 37063 37208 37353
## [23401] 37498 37643 37788 37933 38078 38223 38368 38513    89   234   379   524
## [23413]   669   814   959  1104  1249  1394  1539  1684  1829  1974  2119  2264
## [23425]  2409  2554  2699  2844  2989  3134  3279  3424  3569  3714  3859  4004
## [23437]  4149  4294  4439  4584  4729  4874  5019  5164  5309  5454  5599  5744
## [23449]  5889  6034  6179  6324  6469  6614  6759  6904  7049  7194  7339  7484
## [23461]  7629  7774  7919  8064  8209  8354  8499  8644  8789  8934  9079  9224
## [23473]  9369  9514  9659  9804  9949 10094 10239 10384 10529 10674 10819 10964
## [23485] 11109 11254 11399 11544 11689 11834 11979 12124 12269 12414 12559 12704
## [23497] 12849 12994 13139 13284 13429 13574 13719 13864 14009 14154 14299 14444
## [23509] 14589 14734 14879 15024 15169 15314 15459 15604 15749 15894 16039 16184
## [23521] 16329 16474 16619 16764 16909 17054 17199 17344 17489 17634 17779 17924
## [23533] 18069 18214 18359 18504 18649 18794 18939 19084 19229 19374 19519 19664
## [23545] 19809 19954 20099 20244 20389 20534 20679 20824 20969 21114 21259 21404
## [23557] 21549 21694 21839 21984 22129 22274 22419 22564 22709 22854 22999 23144
## [23569] 23289 23434 23579 23724 23869 24014 24159 24304 24449 24594 24739 24884
## [23581] 25029 25174 25319 25464 25609 25754 25899 26044 26189 26334 26479 26624
## [23593] 26769 26914 27059 27204 27349 27494 27639 27784 27929 28074 28219 28364
## [23605] 28509 28654 28799 28944 29089 29234 29379 29524 29669 29814 29959 30104
## [23617] 30249 30394 30539 30684 30829 30974 31119 31264 31409 31554 31699 31844
## [23629] 31989 32134 32279 32424 32569 32714 32859 33004 33149 33294 33439 33584
## [23641] 33729 33874 34019 34164 34309 34454 34599 34744 34889 35034 35179 35324
## [23653] 35469 35614 35759 35904 36049 36194 36339 36484 36629 36774 36919 37064
## [23665] 37209 37354 37499 37644 37789 37934 38079 38224 38369 38514    90   235
## [23677]   380   525   670   815   960  1105  1250  1395  1540  1685  1830  1975
## [23689]  2120  2265  2410  2555  2700  2845  2990  3135  3280  3425  3570  3715
## [23701]  3860  4005  4150  4295  4440  4585  4730  4875  5020  5165  5310  5455
## [23713]  5600  5745  5890  6035  6180  6325  6470  6615  6760  6905  7050  7195
## [23725]  7340  7485  7630  7775  7920  8065  8210  8355  8500  8645  8790  8935
## [23737]  9080  9225  9370  9515  9660  9805  9950 10095 10240 10385 10530 10675
## [23749] 10820 10965 11110 11255 11400 11545 11690 11835 11980 12125 12270 12415
## [23761] 12560 12705 12850 12995 13140 13285 13430 13575 13720 13865 14010 14155
## [23773] 14300 14445 14590 14735 14880 15025 15170 15315 15460 15605 15750 15895
## [23785] 16040 16185 16330 16475 16620 16765 16910 17055 17200 17345 17490 17635
## [23797] 17780 17925 18070 18215 18360 18505 18650 18795 18940 19085 19230 19375
## [23809] 19520 19665 19810 19955 20100 20245 20390 20535 20680 20825 20970 21115
## [23821] 21260 21405 21550 21695 21840 21985 22130 22275 22420 22565 22710 22855
## [23833] 23000 23145 23290 23435 23580 23725 23870 24015 24160 24305 24450 24595
## [23845] 24740 24885 25030 25175 25320 25465 25610 25755 25900 26045 26190 26335
## [23857] 26480 26625 26770 26915 27060 27205 27350 27495 27640 27785 27930 28075
## [23869] 28220 28365 28510 28655 28800 28945 29090 29235 29380 29525 29670 29815
## [23881] 29960 30105 30250 30395 30540 30685 30830 30975 31120 31265 31410 31555
## [23893] 31700 31845 31990 32135 32280 32425 32570 32715 32860 33005 33150 33295
## [23905] 33440 33585 33730 33875 34020 34165 34310 34455 34600 34745 34890 35035
## [23917] 35180 35325 35470 35615 35760 35905 36050 36195 36340 36485 36630 36775
## [23929] 36920 37065 37210 37355 37500 37645 37790 37935 38080 38225 38370 38515
## [23941]    91   236   381   526   671   816   961  1106  1251  1396  1541  1686
## [23953]  1831  1976  2121  2266  2411  2556  2701  2846  2991  3136  3281  3426
## [23965]  3571  3716  3861  4006  4151  4296  4441  4586  4731  4876  5021  5166
## [23977]  5311  5456  5601  5746  5891  6036  6181  6326  6471  6616  6761  6906
## [23989]  7051  7196  7341  7486  7631  7776  7921  8066  8211  8356  8501  8646
## [24001]  8791  8936  9081  9226  9371  9516  9661  9806  9951 10096 10241 10386
## [24013] 10531 10676 10821 10966 11111 11256 11401 11546 11691 11836 11981 12126
## [24025] 12271 12416 12561 12706 12851 12996 13141 13286 13431 13576 13721 13866
## [24037] 14011 14156 14301 14446 14591 14736 14881 15026 15171 15316 15461 15606
## [24049] 15751 15896 16041 16186 16331 16476 16621 16766 16911 17056 17201 17346
## [24061] 17491 17636 17781 17926 18071 18216 18361 18506 18651 18796 18941 19086
## [24073] 19231 19376 19521 19666 19811 19956 20101 20246 20391 20536 20681 20826
## [24085] 20971 21116 21261 21406 21551 21696 21841 21986 22131 22276 22421 22566
## [24097] 22711 22856 23001 23146 23291 23436 23581 23726 23871 24016 24161 24306
## [24109] 24451 24596 24741 24886 25031 25176 25321 25466 25611 25756 25901 26046
## [24121] 26191 26336 26481 26626 26771 26916 27061 27206 27351 27496 27641 27786
## [24133] 27931 28076 28221 28366 28511 28656 28801 28946 29091 29236 29381 29526
## [24145] 29671 29816 29961 30106 30251 30396 30541 30686 30831 30976 31121 31266
## [24157] 31411 31556 31701 31846 31991 32136 32281 32426 32571 32716 32861 33006
## [24169] 33151 33296 33441 33586 33731 33876 34021 34166 34311 34456 34601 34746
## [24181] 34891 35036 35181 35326 35471 35616 35761 35906 36051 36196 36341 36486
## [24193] 36631 36776 36921 37066 37211 37356 37501 37646 37791 37936 38081 38226
## [24205] 38371 38516    92   237   382   527   672   817   962  1107  1252  1397
## [24217]  1542  1687  1832  1977  2122  2267  2412  2557  2702  2847  2992  3137
## [24229]  3282  3427  3572  3717  3862  4007  4152  4297  4442  4587  4732  4877
## [24241]  5022  5167  5312  5457  5602  5747  5892  6037  6182  6327  6472  6617
## [24253]  6762  6907  7052  7197  7342  7487  7632  7777  7922  8067  8212  8357
## [24265]  8502  8647  8792  8937  9082  9227  9372  9517  9662  9807  9952 10097
## [24277] 10242 10387 10532 10677 10822 10967 11112 11257 11402 11547 11692 11837
## [24289] 11982 12127 12272 12417 12562 12707 12852 12997 13142 13287 13432 13577
## [24301] 13722 13867 14012 14157 14302 14447 14592 14737 14882 15027 15172 15317
## [24313] 15462 15607 15752 15897 16042 16187 16332 16477 16622 16767 16912 17057
## [24325] 17202 17347 17492 17637 17782 17927 18072 18217 18362 18507 18652 18797
## [24337] 18942 19087 19232 19377 19522 19667 19812 19957 20102 20247 20392 20537
## [24349] 20682 20827 20972 21117 21262 21407 21552 21697 21842 21987 22132 22277
## [24361] 22422 22567 22712 22857 23002 23147 23292 23437 23582 23727 23872 24017
## [24373] 24162 24307 24452 24597 24742 24887 25032 25177 25322 25467 25612 25757
## [24385] 25902 26047 26192 26337 26482 26627 26772 26917 27062 27207 27352 27497
## [24397] 27642 27787 27932 28077 28222 28367 28512 28657 28802 28947 29092 29237
## [24409] 29382 29527 29672 29817 29962 30107 30252 30397 30542 30687 30832 30977
## [24421] 31122 31267 31412 31557 31702 31847 31992 32137 32282 32427 32572 32717
## [24433] 32862 33007 33152 33297 33442 33587 33732 33877 34022 34167 34312 34457
## [24445] 34602 34747 34892 35037 35182 35327 35472 35617 35762 35907 36052 36197
## [24457] 36342 36487 36632 36777 36922 37067 37212 37357 37502 37647 37792 37937
## [24469] 38082 38227 38372 38517    93   238   383   528   673   818   963  1108
## [24481]  1253  1398  1543  1688  1833  1978  2123  2268  2413  2558  2703  2848
## [24493]  2993  3138  3283  3428  3573  3718  3863  4008  4153  4298  4443  4588
## [24505]  4733  4878  5023  5168  5313  5458  5603  5748  5893  6038  6183  6328
## [24517]  6473  6618  6763  6908  7053  7198  7343  7488  7633  7778  7923  8068
## [24529]  8213  8358  8503  8648  8793  8938  9083  9228  9373  9518  9663  9808
## [24541]  9953 10098 10243 10388 10533 10678 10823 10968 11113 11258 11403 11548
## [24553] 11693 11838 11983 12128 12273 12418 12563 12708 12853 12998 13143 13288
## [24565] 13433 13578 13723 13868 14013 14158 14303 14448 14593 14738 14883 15028
## [24577] 15173 15318 15463 15608 15753 15898 16043 16188 16333 16478 16623 16768
## [24589] 16913 17058 17203 17348 17493 17638 17783 17928 18073 18218 18363 18508
## [24601] 18653 18798 18943 19088 19233 19378 19523 19668 19813 19958 20103 20248
## [24613] 20393 20538 20683 20828 20973 21118 21263 21408 21553 21698 21843 21988
## [24625] 22133 22278 22423 22568 22713 22858 23003 23148 23293 23438 23583 23728
## [24637] 23873 24018 24163 24308 24453 24598 24743 24888 25033 25178 25323 25468
## [24649] 25613 25758 25903 26048 26193 26338 26483 26628 26773 26918 27063 27208
## [24661] 27353 27498 27643 27788 27933 28078 28223 28368 28513 28658 28803 28948
## [24673] 29093 29238 29383 29528 29673 29818 29963 30108 30253 30398 30543 30688
## [24685] 30833 30978 31123 31268 31413 31558 31703 31848 31993 32138 32283 32428
## [24697] 32573 32718 32863 33008 33153 33298 33443 33588 33733 33878 34023 34168
## [24709] 34313 34458 34603 34748 34893 35038 35183 35328 35473 35618 35763 35908
## [24721] 36053 36198 36343 36488 36633 36778 36923 37068 37213 37358 37503 37648
## [24733] 37793 37938 38083 38228 38373 38518    94   239   384   529   674   819
## [24745]   964  1109  1254  1399  1544  1689  1834  1979  2124  2269  2414  2559
## [24757]  2704  2849  2994  3139  3284  3429  3574  3719  3864  4009  4154  4299
## [24769]  4444  4589  4734  4879  5024  5169  5314  5459  5604  5749  5894  6039
## [24781]  6184  6329  6474  6619  6764  6909  7054  7199  7344  7489  7634  7779
## [24793]  7924  8069  8214  8359  8504  8649  8794  8939  9084  9229  9374  9519
## [24805]  9664  9809  9954 10099 10244 10389 10534 10679 10824 10969 11114 11259
## [24817] 11404 11549 11694 11839 11984 12129 12274 12419 12564 12709 12854 12999
## [24829] 13144 13289 13434 13579 13724 13869 14014 14159 14304 14449 14594 14739
## [24841] 14884 15029 15174 15319 15464 15609 15754 15899 16044 16189 16334 16479
## [24853] 16624 16769 16914 17059 17204 17349 17494 17639 17784 17929 18074 18219
## [24865] 18364 18509 18654 18799 18944 19089 19234 19379 19524 19669 19814 19959
## [24877] 20104 20249 20394 20539 20684 20829 20974 21119 21264 21409 21554 21699
## [24889] 21844 21989 22134 22279 22424 22569 22714 22859 23004 23149 23294 23439
## [24901] 23584 23729 23874 24019 24164 24309 24454 24599 24744 24889 25034 25179
## [24913] 25324 25469 25614 25759 25904 26049 26194 26339 26484 26629 26774 26919
## [24925] 27064 27209 27354 27499 27644 27789 27934 28079 28224 28369 28514 28659
## [24937] 28804 28949 29094 29239 29384 29529 29674 29819 29964 30109 30254 30399
## [24949] 30544 30689 30834 30979 31124 31269 31414 31559 31704 31849 31994 32139
## [24961] 32284 32429 32574 32719 32864 33009 33154 33299 33444 33589 33734 33879
## [24973] 34024 34169 34314 34459 34604 34749 34894 35039 35184 35329 35474 35619
## [24985] 35764 35909 36054 36199 36344 36489 36634 36779 36924 37069 37214 37359
## [24997] 37504 37649 37794 37939 38084 38229 38374 38519    95   240   385   530
## [25009]   675   820   965  1110  1255  1400  1545  1690  1835  1980  2125  2270
## [25021]  2415  2560  2705  2850  2995  3140  3285  3430  3575  3720  3865  4010
## [25033]  4155  4300  4445  4590  4735  4880  5025  5170  5315  5460  5605  5750
## [25045]  5895  6040  6185  6330  6475  6620  6765  6910  7055  7200  7345  7490
## [25057]  7635  7780  7925  8070  8215  8360  8505  8650  8795  8940  9085  9230
## [25069]  9375  9520  9665  9810  9955 10100 10245 10390 10535 10680 10825 10970
## [25081] 11115 11260 11405 11550 11695 11840 11985 12130 12275 12420 12565 12710
## [25093] 12855 13000 13145 13290 13435 13580 13725 13870 14015 14160 14305 14450
## [25105] 14595 14740 14885 15030 15175 15320 15465 15610 15755 15900 16045 16190
## [25117] 16335 16480 16625 16770 16915 17060 17205 17350 17495 17640 17785 17930
## [25129] 18075 18220 18365 18510 18655 18800 18945 19090 19235 19380 19525 19670
## [25141] 19815 19960 20105 20250 20395 20540 20685 20830 20975 21120 21265 21410
## [25153] 21555 21700 21845 21990 22135 22280 22425 22570 22715 22860 23005 23150
## [25165] 23295 23440 23585 23730 23875 24020 24165 24310 24455 24600 24745 24890
## [25177] 25035 25180 25325 25470 25615 25760 25905 26050 26195 26340 26485 26630
## [25189] 26775 26920 27065 27210 27355 27500 27645 27790 27935 28080 28225 28370
## [25201] 28515 28660 28805 28950 29095 29240 29385 29530 29675 29820 29965 30110
## [25213] 30255 30400 30545 30690 30835 30980 31125 31270 31415 31560 31705 31850
## [25225] 31995 32140 32285 32430 32575 32720 32865 33010 33155 33300 33445 33590
## [25237] 33735 33880 34025 34170 34315 34460 34605 34750 34895 35040 35185 35330
## [25249] 35475 35620 35765 35910 36055 36200 36345 36490 36635 36780 36925 37070
## [25261] 37215 37360 37505 37650 37795 37940 38085 38230 38375 38520    96   241
## [25273]   386   531   676   821   966  1111  1256  1401  1546  1691  1836  1981
## [25285]  2126  2271  2416  2561  2706  2851  2996  3141  3286  3431  3576  3721
## [25297]  3866  4011  4156  4301  4446  4591  4736  4881  5026  5171  5316  5461
## [25309]  5606  5751  5896  6041  6186  6331  6476  6621  6766  6911  7056  7201
## [25321]  7346  7491  7636  7781  7926  8071  8216  8361  8506  8651  8796  8941
## [25333]  9086  9231  9376  9521  9666  9811  9956 10101 10246 10391 10536 10681
## [25345] 10826 10971 11116 11261 11406 11551 11696 11841 11986 12131 12276 12421
## [25357] 12566 12711 12856 13001 13146 13291 13436 13581 13726 13871 14016 14161
## [25369] 14306 14451 14596 14741 14886 15031 15176 15321 15466 15611 15756 15901
## [25381] 16046 16191 16336 16481 16626 16771 16916 17061 17206 17351 17496 17641
## [25393] 17786 17931 18076 18221 18366 18511 18656 18801 18946 19091 19236 19381
## [25405] 19526 19671 19816 19961 20106 20251 20396 20541 20686 20831 20976 21121
## [25417] 21266 21411 21556 21701 21846 21991 22136 22281 22426 22571 22716 22861
## [25429] 23006 23151 23296 23441 23586 23731 23876 24021 24166 24311 24456 24601
## [25441] 24746 24891 25036 25181 25326 25471 25616 25761 25906 26051 26196 26341
## [25453] 26486 26631 26776 26921 27066 27211 27356 27501 27646 27791 27936 28081
## [25465] 28226 28371 28516 28661 28806 28951 29096 29241 29386 29531 29676 29821
## [25477] 29966 30111 30256 30401 30546 30691 30836 30981 31126 31271 31416 31561
## [25489] 31706 31851 31996 32141 32286 32431 32576 32721 32866 33011 33156 33301
## [25501] 33446 33591 33736 33881 34026 34171 34316 34461 34606 34751 34896 35041
## [25513] 35186 35331 35476 35621 35766 35911 36056 36201 36346 36491 36636 36781
## [25525] 36926 37071 37216 37361 37506 37651 37796 37941 38086 38231 38376 38521
## [25537]    97   242   387   532   677   822   967  1112  1257  1402  1547  1692
## [25549]  1837  1982  2127  2272  2417  2562  2707  2852  2997  3142  3287  3432
## [25561]  3577  3722  3867  4012  4157  4302  4447  4592  4737  4882  5027  5172
## [25573]  5317  5462  5607  5752  5897  6042  6187  6332  6477  6622  6767  6912
## [25585]  7057  7202  7347  7492  7637  7782  7927  8072  8217  8362  8507  8652
## [25597]  8797  8942  9087  9232  9377  9522  9667  9812  9957 10102 10247 10392
## [25609] 10537 10682 10827 10972 11117 11262 11407 11552 11697 11842 11987 12132
## [25621] 12277 12422 12567 12712 12857 13002 13147 13292 13437 13582 13727 13872
## [25633] 14017 14162 14307 14452 14597 14742 14887 15032 15177 15322 15467 15612
## [25645] 15757 15902 16047 16192 16337 16482 16627 16772 16917 17062 17207 17352
## [25657] 17497 17642 17787 17932 18077 18222 18367 18512 18657 18802 18947 19092
## [25669] 19237 19382 19527 19672 19817 19962 20107 20252 20397 20542 20687 20832
## [25681] 20977 21122 21267 21412 21557 21702 21847 21992 22137 22282 22427 22572
## [25693] 22717 22862 23007 23152 23297 23442 23587 23732 23877 24022 24167 24312
## [25705] 24457 24602 24747 24892 25037 25182 25327 25472 25617 25762 25907 26052
## [25717] 26197 26342 26487 26632 26777 26922 27067 27212 27357 27502 27647 27792
## [25729] 27937 28082 28227 28372 28517 28662 28807 28952 29097 29242 29387 29532
## [25741] 29677 29822 29967 30112 30257 30402 30547 30692 30837 30982 31127 31272
## [25753] 31417 31562 31707 31852 31997 32142 32287 32432 32577 32722 32867 33012
## [25765] 33157 33302 33447 33592 33737 33882 34027 34172 34317 34462 34607 34752
## [25777] 34897 35042 35187 35332 35477 35622 35767 35912 36057 36202 36347 36492
## [25789] 36637 36782 36927 37072 37217 37362 37507 37652 37797 37942 38087 38232
## [25801] 38377 38522    98   243   388   533   678   823   968  1113  1258  1403
## [25813]  1548  1693  1838  1983  2128  2273  2418  2563  2708  2853  2998  3143
## [25825]  3288  3433  3578  3723  3868  4013  4158  4303  4448  4593  4738  4883
## [25837]  5028  5173  5318  5463  5608  5753  5898  6043  6188  6333  6478  6623
## [25849]  6768  6913  7058  7203  7348  7493  7638  7783  7928  8073  8218  8363
## [25861]  8508  8653  8798  8943  9088  9233  9378  9523  9668  9813  9958 10103
## [25873] 10248 10393 10538 10683 10828 10973 11118 11263 11408 11553 11698 11843
## [25885] 11988 12133 12278 12423 12568 12713 12858 13003 13148 13293 13438 13583
## [25897] 13728 13873 14018 14163 14308 14453 14598 14743 14888 15033 15178 15323
## [25909] 15468 15613 15758 15903 16048 16193 16338 16483 16628 16773 16918 17063
## [25921] 17208 17353 17498 17643 17788 17933 18078 18223 18368 18513 18658 18803
## [25933] 18948 19093 19238 19383 19528 19673 19818 19963 20108 20253 20398 20543
## [25945] 20688 20833 20978 21123 21268 21413 21558 21703 21848 21993 22138 22283
## [25957] 22428 22573 22718 22863 23008 23153 23298 23443 23588 23733 23878 24023
## [25969] 24168 24313 24458 24603 24748 24893 25038 25183 25328 25473 25618 25763
## [25981] 25908 26053 26198 26343 26488 26633 26778 26923 27068 27213 27358 27503
## [25993] 27648 27793 27938 28083 28228 28373 28518 28663 28808 28953 29098 29243
## [26005] 29388 29533 29678 29823 29968 30113 30258 30403 30548 30693 30838 30983
## [26017] 31128 31273 31418 31563 31708 31853 31998 32143 32288 32433 32578 32723
## [26029] 32868 33013 33158 33303 33448 33593 33738 33883 34028 34173 34318 34463
## [26041] 34608 34753 34898 35043 35188 35333 35478 35623 35768 35913 36058 36203
## [26053] 36348 36493 36638 36783 36928 37073 37218 37363 37508 37653 37798 37943
## [26065] 38088 38233 38378 38523    99   244   389   534   679   824   969  1114
## [26077]  1259  1404  1549  1694  1839  1984  2129  2274  2419  2564  2709  2854
## [26089]  2999  3144  3289  3434  3579  3724  3869  4014  4159  4304  4449  4594
## [26101]  4739  4884  5029  5174  5319  5464  5609  5754  5899  6044  6189  6334
## [26113]  6479  6624  6769  6914  7059  7204  7349  7494  7639  7784  7929  8074
## [26125]  8219  8364  8509  8654  8799  8944  9089  9234  9379  9524  9669  9814
## [26137]  9959 10104 10249 10394 10539 10684 10829 10974 11119 11264 11409 11554
## [26149] 11699 11844 11989 12134 12279 12424 12569 12714 12859 13004 13149 13294
## [26161] 13439 13584 13729 13874 14019 14164 14309 14454 14599 14744 14889 15034
## [26173] 15179 15324 15469 15614 15759 15904 16049 16194 16339 16484 16629 16774
## [26185] 16919 17064 17209 17354 17499 17644 17789 17934 18079 18224 18369 18514
## [26197] 18659 18804 18949 19094 19239 19384 19529 19674 19819 19964 20109 20254
## [26209] 20399 20544 20689 20834 20979 21124 21269 21414 21559 21704 21849 21994
## [26221] 22139 22284 22429 22574 22719 22864 23009 23154 23299 23444 23589 23734
## [26233] 23879 24024 24169 24314 24459 24604 24749 24894 25039 25184 25329 25474
## [26245] 25619 25764 25909 26054 26199 26344 26489 26634 26779 26924 27069 27214
## [26257] 27359 27504 27649 27794 27939 28084 28229 28374 28519 28664 28809 28954
## [26269] 29099 29244 29389 29534 29679 29824 29969 30114 30259 30404 30549 30694
## [26281] 30839 30984 31129 31274 31419 31564 31709 31854 31999 32144 32289 32434
## [26293] 32579 32724 32869 33014 33159 33304 33449 33594 33739 33884 34029 34174
## [26305] 34319 34464 34609 34754 34899 35044 35189 35334 35479 35624 35769 35914
## [26317] 36059 36204 36349 36494 36639 36784 36929 37074 37219 37364 37509 37654
## [26329] 37799 37944 38089 38234 38379 38524   100   245   390   535   680   825
## [26341]   970  1115  1260  1405  1550  1695  1840  1985  2130  2275  2420  2565
## [26353]  2710  2855  3000  3145  3290  3435  3580  3725  3870  4015  4160  4305
## [26365]  4450  4595  4740  4885  5030  5175  5320  5465  5610  5755  5900  6045
## [26377]  6190  6335  6480  6625  6770  6915  7060  7205  7350  7495  7640  7785
## [26389]  7930  8075  8220  8365  8510  8655  8800  8945  9090  9235  9380  9525
## [26401]  9670  9815  9960 10105 10250 10395 10540 10685 10830 10975 11120 11265
## [26413] 11410 11555 11700 11845 11990 12135 12280 12425 12570 12715 12860 13005
## [26425] 13150 13295 13440 13585 13730 13875 14020 14165 14310 14455 14600 14745
## [26437] 14890 15035 15180 15325 15470 15615 15760 15905 16050 16195 16340 16485
## [26449] 16630 16775 16920 17065 17210 17355 17500 17645 17790 17935 18080 18225
## [26461] 18370 18515 18660 18805 18950 19095 19240 19385 19530 19675 19820 19965
## [26473] 20110 20255 20400 20545 20690 20835 20980 21125 21270 21415 21560 21705
## [26485] 21850 21995 22140 22285 22430 22575 22720 22865 23010 23155 23300 23445
## [26497] 23590 23735 23880 24025 24170 24315 24460 24605 24750 24895 25040 25185
## [26509] 25330 25475 25620 25765 25910 26055 26200 26345 26490 26635 26780 26925
## [26521] 27070 27215 27360 27505 27650 27795 27940 28085 28230 28375 28520 28665
## [26533] 28810 28955 29100 29245 29390 29535 29680 29825 29970 30115 30260 30405
## [26545] 30550 30695 30840 30985 31130 31275 31420 31565 31710 31855 32000 32145
## [26557] 32290 32435 32580 32725 32870 33015 33160 33305 33450 33595 33740 33885
## [26569] 34030 34175 34320 34465 34610 34755 34900 35045 35190 35335 35480 35625
## [26581] 35770 35915 36060 36205 36350 36495 36640 36785 36930 37075 37220 37365
## [26593] 37510 37655 37800 37945 38090 38235 38380 38525   101   246   391   536
## [26605]   681   826   971  1116  1261  1406  1551  1696  1841  1986  2131  2276
## [26617]  2421  2566  2711  2856  3001  3146  3291  3436  3581  3726  3871  4016
## [26629]  4161  4306  4451  4596  4741  4886  5031  5176  5321  5466  5611  5756
## [26641]  5901  6046  6191  6336  6481  6626  6771  6916  7061  7206  7351  7496
## [26653]  7641  7786  7931  8076  8221  8366  8511  8656  8801  8946  9091  9236
## [26665]  9381  9526  9671  9816  9961 10106 10251 10396 10541 10686 10831 10976
## [26677] 11121 11266 11411 11556 11701 11846 11991 12136 12281 12426 12571 12716
## [26689] 12861 13006 13151 13296 13441 13586 13731 13876 14021 14166 14311 14456
## [26701] 14601 14746 14891 15036 15181 15326 15471 15616 15761 15906 16051 16196
## [26713] 16341 16486 16631 16776 16921 17066 17211 17356 17501 17646 17791 17936
## [26725] 18081 18226 18371 18516 18661 18806 18951 19096 19241 19386 19531 19676
## [26737] 19821 19966 20111 20256 20401 20546 20691 20836 20981 21126 21271 21416
## [26749] 21561 21706 21851 21996 22141 22286 22431 22576 22721 22866 23011 23156
## [26761] 23301 23446 23591 23736 23881 24026 24171 24316 24461 24606 24751 24896
## [26773] 25041 25186 25331 25476 25621 25766 25911 26056 26201 26346 26491 26636
## [26785] 26781 26926 27071 27216 27361 27506 27651 27796 27941 28086 28231 28376
## [26797] 28521 28666 28811 28956 29101 29246 29391 29536 29681 29826 29971 30116
## [26809] 30261 30406 30551 30696 30841 30986 31131 31276 31421 31566 31711 31856
## [26821] 32001 32146 32291 32436 32581 32726 32871 33016 33161 33306 33451 33596
## [26833] 33741 33886 34031 34176 34321 34466 34611 34756 34901 35046 35191 35336
## [26845] 35481 35626 35771 35916 36061 36206 36351 36496 36641 36786 36931 37076
## [26857] 37221 37366 37511 37656 37801 37946 38091 38236 38381 38526   102   247
## [26869]   392   537   682   827   972  1117  1262  1407  1552  1697  1842  1987
## [26881]  2132  2277  2422  2567  2712  2857  3002  3147  3292  3437  3582  3727
## [26893]  3872  4017  4162  4307  4452  4597  4742  4887  5032  5177  5322  5467
## [26905]  5612  5757  5902  6047  6192  6337  6482  6627  6772  6917  7062  7207
## [26917]  7352  7497  7642  7787  7932  8077  8222  8367  8512  8657  8802  8947
## [26929]  9092  9237  9382  9527  9672  9817  9962 10107 10252 10397 10542 10687
## [26941] 10832 10977 11122 11267 11412 11557 11702 11847 11992 12137 12282 12427
## [26953] 12572 12717 12862 13007 13152 13297 13442 13587 13732 13877 14022 14167
## [26965] 14312 14457 14602 14747 14892 15037 15182 15327 15472 15617 15762 15907
## [26977] 16052 16197 16342 16487 16632 16777 16922 17067 17212 17357 17502 17647
## [26989] 17792 17937 18082 18227 18372 18517 18662 18807 18952 19097 19242 19387
## [27001] 19532 19677 19822 19967 20112 20257 20402 20547 20692 20837 20982 21127
## [27013] 21272 21417 21562 21707 21852 21997 22142 22287 22432 22577 22722 22867
## [27025] 23012 23157 23302 23447 23592 23737 23882 24027 24172 24317 24462 24607
## [27037] 24752 24897 25042 25187 25332 25477 25622 25767 25912 26057 26202 26347
## [27049] 26492 26637 26782 26927 27072 27217 27362 27507 27652 27797 27942 28087
## [27061] 28232 28377 28522 28667 28812 28957 29102 29247 29392 29537 29682 29827
## [27073] 29972 30117 30262 30407 30552 30697 30842 30987 31132 31277 31422 31567
## [27085] 31712 31857 32002 32147 32292 32437 32582 32727 32872 33017 33162 33307
## [27097] 33452 33597 33742 33887 34032 34177 34322 34467 34612 34757 34902 35047
## [27109] 35192 35337 35482 35627 35772 35917 36062 36207 36352 36497 36642 36787
## [27121] 36932 37077 37222 37367 37512 37657 37802 37947 38092 38237 38382 38527
## [27133]   103   248   393   538   683   828   973  1118  1263  1408  1553  1698
## [27145]  1843  1988  2133  2278  2423  2568  2713  2858  3003  3148  3293  3438
## [27157]  3583  3728  3873  4018  4163  4308  4453  4598  4743  4888  5033  5178
## [27169]  5323  5468  5613  5758  5903  6048  6193  6338  6483  6628  6773  6918
## [27181]  7063  7208  7353  7498  7643  7788  7933  8078  8223  8368  8513  8658
## [27193]  8803  8948  9093  9238  9383  9528  9673  9818  9963 10108 10253 10398
## [27205] 10543 10688 10833 10978 11123 11268 11413 11558 11703 11848 11993 12138
## [27217] 12283 12428 12573 12718 12863 13008 13153 13298 13443 13588 13733 13878
## [27229] 14023 14168 14313 14458 14603 14748 14893 15038 15183 15328 15473 15618
## [27241] 15763 15908 16053 16198 16343 16488 16633 16778 16923 17068 17213 17358
## [27253] 17503 17648 17793 17938 18083 18228 18373 18518 18663 18808 18953 19098
## [27265] 19243 19388 19533 19678 19823 19968 20113 20258 20403 20548 20693 20838
## [27277] 20983 21128 21273 21418 21563 21708 21853 21998 22143 22288 22433 22578
## [27289] 22723 22868 23013 23158 23303 23448 23593 23738 23883 24028 24173 24318
## [27301] 24463 24608 24753 24898 25043 25188 25333 25478 25623 25768 25913 26058
## [27313] 26203 26348 26493 26638 26783 26928 27073 27218 27363 27508 27653 27798
## [27325] 27943 28088 28233 28378 28523 28668 28813 28958 29103 29248 29393 29538
## [27337] 29683 29828 29973 30118 30263 30408 30553 30698 30843 30988 31133 31278
## [27349] 31423 31568 31713 31858 32003 32148 32293 32438 32583 32728 32873 33018
## [27361] 33163 33308 33453 33598 33743 33888 34033 34178 34323 34468 34613 34758
## [27373] 34903 35048 35193 35338 35483 35628 35773 35918 36063 36208 36353 36498
## [27385] 36643 36788 36933 37078 37223 37368 37513 37658 37803 37948 38093 38238
## [27397] 38383 38528   104   249   394   539   684   829   974  1119  1264  1409
## [27409]  1554  1699  1844  1989  2134  2279  2424  2569  2714  2859  3004  3149
## [27421]  3294  3439  3584  3729  3874  4019  4164  4309  4454  4599  4744  4889
## [27433]  5034  5179  5324  5469  5614  5759  5904  6049  6194  6339  6484  6629
## [27445]  6774  6919  7064  7209  7354  7499  7644  7789  7934  8079  8224  8369
## [27457]  8514  8659  8804  8949  9094  9239  9384  9529  9674  9819  9964 10109
## [27469] 10254 10399 10544 10689 10834 10979 11124 11269 11414 11559 11704 11849
## [27481] 11994 12139 12284 12429 12574 12719 12864 13009 13154 13299 13444 13589
## [27493] 13734 13879 14024 14169 14314 14459 14604 14749 14894 15039 15184 15329
## [27505] 15474 15619 15764 15909 16054 16199 16344 16489 16634 16779 16924 17069
## [27517] 17214 17359 17504 17649 17794 17939 18084 18229 18374 18519 18664 18809
## [27529] 18954 19099 19244 19389 19534 19679 19824 19969 20114 20259 20404 20549
## [27541] 20694 20839 20984 21129 21274 21419 21564 21709 21854 21999 22144 22289
## [27553] 22434 22579 22724 22869 23014 23159 23304 23449 23594 23739 23884 24029
## [27565] 24174 24319 24464 24609 24754 24899 25044 25189 25334 25479 25624 25769
## [27577] 25914 26059 26204 26349 26494 26639 26784 26929 27074 27219 27364 27509
## [27589] 27654 27799 27944 28089 28234 28379 28524 28669 28814 28959 29104 29249
## [27601] 29394 29539 29684 29829 29974 30119 30264 30409 30554 30699 30844 30989
## [27613] 31134 31279 31424 31569 31714 31859 32004 32149 32294 32439 32584 32729
## [27625] 32874 33019 33164 33309 33454 33599 33744 33889 34034 34179 34324 34469
## [27637] 34614 34759 34904 35049 35194 35339 35484 35629 35774 35919 36064 36209
## [27649] 36354 36499 36644 36789 36934 37079 37224 37369 37514 37659 37804 37949
## [27661] 38094 38239 38384 38529   105   250   395   540   685   830   975  1120
## [27673]  1265  1410  1555  1700  1845  1990  2135  2280  2425  2570  2715  2860
## [27685]  3005  3150  3295  3440  3585  3730  3875  4020  4165  4310  4455  4600
## [27697]  4745  4890  5035  5180  5325  5470  5615  5760  5905  6050  6195  6340
## [27709]  6485  6630  6775  6920  7065  7210  7355  7500  7645  7790  7935  8080
## [27721]  8225  8370  8515  8660  8805  8950  9095  9240  9385  9530  9675  9820
## [27733]  9965 10110 10255 10400 10545 10690 10835 10980 11125 11270 11415 11560
## [27745] 11705 11850 11995 12140 12285 12430 12575 12720 12865 13010 13155 13300
## [27757] 13445 13590 13735 13880 14025 14170 14315 14460 14605 14750 14895 15040
## [27769] 15185 15330 15475 15620 15765 15910 16055 16200 16345 16490 16635 16780
## [27781] 16925 17070 17215 17360 17505 17650 17795 17940 18085 18230 18375 18520
## [27793] 18665 18810 18955 19100 19245 19390 19535 19680 19825 19970 20115 20260
## [27805] 20405 20550 20695 20840 20985 21130 21275 21420 21565 21710 21855 22000
## [27817] 22145 22290 22435 22580 22725 22870 23015 23160 23305 23450 23595 23740
## [27829] 23885 24030 24175 24320 24465 24610 24755 24900 25045 25190 25335 25480
## [27841] 25625 25770 25915 26060 26205 26350 26495 26640 26785 26930 27075 27220
## [27853] 27365 27510 27655 27800 27945 28090 28235 28380 28525 28670 28815 28960
## [27865] 29105 29250 29395 29540 29685 29830 29975 30120 30265 30410 30555 30700
## [27877] 30845 30990 31135 31280 31425 31570 31715 31860 32005 32150 32295 32440
## [27889] 32585 32730 32875 33020 33165 33310 33455 33600 33745 33890 34035 34180
## [27901] 34325 34470 34615 34760 34905 35050 35195 35340 35485 35630 35775 35920
## [27913] 36065 36210 36355 36500 36645 36790 36935 37080 37225 37370 37515 37660
## [27925] 37805 37950 38095 38240 38385 38530   106   251   396   541   686   831
## [27937]   976  1121  1266  1411  1556  1701  1846  1991  2136  2281  2426  2571
## [27949]  2716  2861  3006  3151  3296  3441  3586  3731  3876  4021  4166  4311
## [27961]  4456  4601  4746  4891  5036  5181  5326  5471  5616  5761  5906  6051
## [27973]  6196  6341  6486  6631  6776  6921  7066  7211  7356  7501  7646  7791
## [27985]  7936  8081  8226  8371  8516  8661  8806  8951  9096  9241  9386  9531
## [27997]  9676  9821  9966 10111 10256 10401 10546 10691 10836 10981 11126 11271
## [28009] 11416 11561 11706 11851 11996 12141 12286 12431 12576 12721 12866 13011
## [28021] 13156 13301 13446 13591 13736 13881 14026 14171 14316 14461 14606 14751
## [28033] 14896 15041 15186 15331 15476 15621 15766 15911 16056 16201 16346 16491
## [28045] 16636 16781 16926 17071 17216 17361 17506 17651 17796 17941 18086 18231
## [28057] 18376 18521 18666 18811 18956 19101 19246 19391 19536 19681 19826 19971
## [28069] 20116 20261 20406 20551 20696 20841 20986 21131 21276 21421 21566 21711
## [28081] 21856 22001 22146 22291 22436 22581 22726 22871 23016 23161 23306 23451
## [28093] 23596 23741 23886 24031 24176 24321 24466 24611 24756 24901 25046 25191
## [28105] 25336 25481 25626 25771 25916 26061 26206 26351 26496 26641 26786 26931
## [28117] 27076 27221 27366 27511 27656 27801 27946 28091 28236 28381 28526 28671
## [28129] 28816 28961 29106 29251 29396 29541 29686 29831 29976 30121 30266 30411
## [28141] 30556 30701 30846 30991 31136 31281 31426 31571 31716 31861 32006 32151
## [28153] 32296 32441 32586 32731 32876 33021 33166 33311 33456 33601 33746 33891
## [28165] 34036 34181 34326 34471 34616 34761 34906 35051 35196 35341 35486 35631
## [28177] 35776 35921 36066 36211 36356 36501 36646 36791 36936 37081 37226 37371
## [28189] 37516 37661 37806 37951 38096 38241 38386 38531   107   252   397   542
## [28201]   687   832   977  1122  1267  1412  1557  1702  1847  1992  2137  2282
## [28213]  2427  2572  2717  2862  3007  3152  3297  3442  3587  3732  3877  4022
## [28225]  4167  4312  4457  4602  4747  4892  5037  5182  5327  5472  5617  5762
## [28237]  5907  6052  6197  6342  6487  6632  6777  6922  7067  7212  7357  7502
## [28249]  7647  7792  7937  8082  8227  8372  8517  8662  8807  8952  9097  9242
## [28261]  9387  9532  9677  9822  9967 10112 10257 10402 10547 10692 10837 10982
## [28273] 11127 11272 11417 11562 11707 11852 11997 12142 12287 12432 12577 12722
## [28285] 12867 13012 13157 13302 13447 13592 13737 13882 14027 14172 14317 14462
## [28297] 14607 14752 14897 15042 15187 15332 15477 15622 15767 15912 16057 16202
## [28309] 16347 16492 16637 16782 16927 17072 17217 17362 17507 17652 17797 17942
## [28321] 18087 18232 18377 18522 18667 18812 18957 19102 19247 19392 19537 19682
## [28333] 19827 19972 20117 20262 20407 20552 20697 20842 20987 21132 21277 21422
## [28345] 21567 21712 21857 22002 22147 22292 22437 22582 22727 22872 23017 23162
## [28357] 23307 23452 23597 23742 23887 24032 24177 24322 24467 24612 24757 24902
## [28369] 25047 25192 25337 25482 25627 25772 25917 26062 26207 26352 26497 26642
## [28381] 26787 26932 27077 27222 27367 27512 27657 27802 27947 28092 28237 28382
## [28393] 28527 28672 28817 28962 29107 29252 29397 29542 29687 29832 29977 30122
## [28405] 30267 30412 30557 30702 30847 30992 31137 31282 31427 31572 31717 31862
## [28417] 32007 32152 32297 32442 32587 32732 32877 33022 33167 33312 33457 33602
## [28429] 33747 33892 34037 34182 34327 34472 34617 34762 34907 35052 35197 35342
## [28441] 35487 35632 35777 35922 36067 36212 36357 36502 36647 36792 36937 37082
## [28453] 37227 37372 37517 37662 37807 37952 38097 38242 38387 38532   108   253
## [28465]   398   543   688   833   978  1123  1268  1413  1558  1703  1848  1993
## [28477]  2138  2283  2428  2573  2718  2863  3008  3153  3298  3443  3588  3733
## [28489]  3878  4023  4168  4313  4458  4603  4748  4893  5038  5183  5328  5473
## [28501]  5618  5763  5908  6053  6198  6343  6488  6633  6778  6923  7068  7213
## [28513]  7358  7503  7648  7793  7938  8083  8228  8373  8518  8663  8808  8953
## [28525]  9098  9243  9388  9533  9678  9823  9968 10113 10258 10403 10548 10693
## [28537] 10838 10983 11128 11273 11418 11563 11708 11853 11998 12143 12288 12433
## [28549] 12578 12723 12868 13013 13158 13303 13448 13593 13738 13883 14028 14173
## [28561] 14318 14463 14608 14753 14898 15043 15188 15333 15478 15623 15768 15913
## [28573] 16058 16203 16348 16493 16638 16783 16928 17073 17218 17363 17508 17653
## [28585] 17798 17943 18088 18233 18378 18523 18668 18813 18958 19103 19248 19393
## [28597] 19538 19683 19828 19973 20118 20263 20408 20553 20698 20843 20988 21133
## [28609] 21278 21423 21568 21713 21858 22003 22148 22293 22438 22583 22728 22873
## [28621] 23018 23163 23308 23453 23598 23743 23888 24033 24178 24323 24468 24613
## [28633] 24758 24903 25048 25193 25338 25483 25628 25773 25918 26063 26208 26353
## [28645] 26498 26643 26788 26933 27078 27223 27368 27513 27658 27803 27948 28093
## [28657] 28238 28383 28528 28673 28818 28963 29108 29253 29398 29543 29688 29833
## [28669] 29978 30123 30268 30413 30558 30703 30848 30993 31138 31283 31428 31573
## [28681] 31718 31863 32008 32153 32298 32443 32588 32733 32878 33023 33168 33313
## [28693] 33458 33603 33748 33893 34038 34183 34328 34473 34618 34763 34908 35053
## [28705] 35198 35343 35488 35633 35778 35923 36068 36213 36358 36503 36648 36793
## [28717] 36938 37083 37228 37373 37518 37663 37808 37953 38098 38243 38388 38533
## [28729]   109   254   399   544   689   834   979  1124  1269  1414  1559  1704
## [28741]  1849  1994  2139  2284  2429  2574  2719  2864  3009  3154  3299  3444
## [28753]  3589  3734  3879  4024  4169  4314  4459  4604  4749  4894  5039  5184
## [28765]  5329  5474  5619  5764  5909  6054  6199  6344  6489  6634  6779  6924
## [28777]  7069  7214  7359  7504  7649  7794  7939  8084  8229  8374  8519  8664
## [28789]  8809  8954  9099  9244  9389  9534  9679  9824  9969 10114 10259 10404
## [28801] 10549 10694 10839 10984 11129 11274 11419 11564 11709 11854 11999 12144
## [28813] 12289 12434 12579 12724 12869 13014 13159 13304 13449 13594 13739 13884
## [28825] 14029 14174 14319 14464 14609 14754 14899 15044 15189 15334 15479 15624
## [28837] 15769 15914 16059 16204 16349 16494 16639 16784 16929 17074 17219 17364
## [28849] 17509 17654 17799 17944 18089 18234 18379 18524 18669 18814 18959 19104
## [28861] 19249 19394 19539 19684 19829 19974 20119 20264 20409 20554 20699 20844
## [28873] 20989 21134 21279 21424 21569 21714 21859 22004 22149 22294 22439 22584
## [28885] 22729 22874 23019 23164 23309 23454 23599 23744 23889 24034 24179 24324
## [28897] 24469 24614 24759 24904 25049 25194 25339 25484 25629 25774 25919 26064
## [28909] 26209 26354 26499 26644 26789 26934 27079 27224 27369 27514 27659 27804
## [28921] 27949 28094 28239 28384 28529 28674 28819 28964 29109 29254 29399 29544
## [28933] 29689 29834 29979 30124 30269 30414 30559 30704 30849 30994 31139 31284
## [28945] 31429 31574 31719 31864 32009 32154 32299 32444 32589 32734 32879 33024
## [28957] 33169 33314 33459 33604 33749 33894 34039 34184 34329 34474 34619 34764
## [28969] 34909 35054 35199 35344 35489 35634 35779 35924 36069 36214 36359 36504
## [28981] 36649 36794 36939 37084 37229 37374 37519 37664 37809 37954 38099 38244
## [28993] 38389 38534   110   255   400   545   690   835   980  1125  1270  1415
## [29005]  1560  1705  1850  1995  2140  2285  2430  2575  2720  2865  3010  3155
## [29017]  3300  3445  3590  3735  3880  4025  4170  4315  4460  4605  4750  4895
## [29029]  5040  5185  5330  5475  5620  5765  5910  6055  6200  6345  6490  6635
## [29041]  6780  6925  7070  7215  7360  7505  7650  7795  7940  8085  8230  8375
## [29053]  8520  8665  8810  8955  9100  9245  9390  9535  9680  9825  9970 10115
## [29065] 10260 10405 10550 10695 10840 10985 11130 11275 11420 11565 11710 11855
## [29077] 12000 12145 12290 12435 12580 12725 12870 13015 13160 13305 13450 13595
## [29089] 13740 13885 14030 14175 14320 14465 14610 14755 14900 15045 15190 15335
## [29101] 15480 15625 15770 15915 16060 16205 16350 16495 16640 16785 16930 17075
## [29113] 17220 17365 17510 17655 17800 17945 18090 18235 18380 18525 18670 18815
## [29125] 18960 19105 19250 19395 19540 19685 19830 19975 20120 20265 20410 20555
## [29137] 20700 20845 20990 21135 21280 21425 21570 21715 21860 22005 22150 22295
## [29149] 22440 22585 22730 22875 23020 23165 23310 23455 23600 23745 23890 24035
## [29161] 24180 24325 24470 24615 24760 24905 25050 25195 25340 25485 25630 25775
## [29173] 25920 26065 26210 26355 26500 26645 26790 26935 27080 27225 27370 27515
## [29185] 27660 27805 27950 28095 28240 28385 28530 28675 28820 28965 29110 29255
## [29197] 29400 29545 29690 29835 29980 30125 30270 30415 30560 30705 30850 30995
## [29209] 31140 31285 31430 31575 31720 31865 32010 32155 32300 32445 32590 32735
## [29221] 32880 33025 33170 33315 33460 33605 33750 33895 34040 34185 34330 34475
## [29233] 34620 34765 34910 35055 35200 35345 35490 35635 35780 35925 36070 36215
## [29245] 36360 36505 36650 36795 36940 37085 37230 37375 37520 37665 37810 37955
## [29257] 38100 38245 38390 38535   111   256   401   546   691   836   981  1126
## [29269]  1271  1416  1561  1706  1851  1996  2141  2286  2431  2576  2721  2866
## [29281]  3011  3156  3301  3446  3591  3736  3881  4026  4171  4316  4461  4606
## [29293]  4751  4896  5041  5186  5331  5476  5621  5766  5911  6056  6201  6346
## [29305]  6491  6636  6781  6926  7071  7216  7361  7506  7651  7796  7941  8086
## [29317]  8231  8376  8521  8666  8811  8956  9101  9246  9391  9536  9681  9826
## [29329]  9971 10116 10261 10406 10551 10696 10841 10986 11131 11276 11421 11566
## [29341] 11711 11856 12001 12146 12291 12436 12581 12726 12871 13016 13161 13306
## [29353] 13451 13596 13741 13886 14031 14176 14321 14466 14611 14756 14901 15046
## [29365] 15191 15336 15481 15626 15771 15916 16061 16206 16351 16496 16641 16786
## [29377] 16931 17076 17221 17366 17511 17656 17801 17946 18091 18236 18381 18526
## [29389] 18671 18816 18961 19106 19251 19396 19541 19686 19831 19976 20121 20266
## [29401] 20411 20556 20701 20846 20991 21136 21281 21426 21571 21716 21861 22006
## [29413] 22151 22296 22441 22586 22731 22876 23021 23166 23311 23456 23601 23746
## [29425] 23891 24036 24181 24326 24471 24616 24761 24906 25051 25196 25341 25486
## [29437] 25631 25776 25921 26066 26211 26356 26501 26646 26791 26936 27081 27226
## [29449] 27371 27516 27661 27806 27951 28096 28241 28386 28531 28676 28821 28966
## [29461] 29111 29256 29401 29546 29691 29836 29981 30126 30271 30416 30561 30706
## [29473] 30851 30996 31141 31286 31431 31576 31721 31866 32011 32156 32301 32446
## [29485] 32591 32736 32881 33026 33171 33316 33461 33606 33751 33896 34041 34186
## [29497] 34331 34476 34621 34766 34911 35056 35201 35346 35491 35636 35781 35926
## [29509] 36071 36216 36361 36506 36651 36796 36941 37086 37231 37376 37521 37666
## [29521] 37811 37956 38101 38246 38391 38536   112   257   402   547   692   837
## [29533]   982  1127  1272  1417  1562  1707  1852  1997  2142  2287  2432  2577
## [29545]  2722  2867  3012  3157  3302  3447  3592  3737  3882  4027  4172  4317
## [29557]  4462  4607  4752  4897  5042  5187  5332  5477  5622  5767  5912  6057
## [29569]  6202  6347  6492  6637  6782  6927  7072  7217  7362  7507  7652  7797
## [29581]  7942  8087  8232  8377  8522  8667  8812  8957  9102  9247  9392  9537
## [29593]  9682  9827  9972 10117 10262 10407 10552 10697 10842 10987 11132 11277
## [29605] 11422 11567 11712 11857 12002 12147 12292 12437 12582 12727 12872 13017
## [29617] 13162 13307 13452 13597 13742 13887 14032 14177 14322 14467 14612 14757
## [29629] 14902 15047 15192 15337 15482 15627 15772 15917 16062 16207 16352 16497
## [29641] 16642 16787 16932 17077 17222 17367 17512 17657 17802 17947 18092 18237
## [29653] 18382 18527 18672 18817 18962 19107 19252 19397 19542 19687 19832 19977
## [29665] 20122 20267 20412 20557 20702 20847 20992 21137 21282 21427 21572 21717
## [29677] 21862 22007 22152 22297 22442 22587 22732 22877 23022 23167 23312 23457
## [29689] 23602 23747 23892 24037 24182 24327 24472 24617 24762 24907 25052 25197
## [29701] 25342 25487 25632 25777 25922 26067 26212 26357 26502 26647 26792 26937
## [29713] 27082 27227 27372 27517 27662 27807 27952 28097 28242 28387 28532 28677
## [29725] 28822 28967 29112 29257 29402 29547 29692 29837 29982 30127 30272 30417
## [29737] 30562 30707 30852 30997 31142 31287 31432 31577 31722 31867 32012 32157
## [29749] 32302 32447 32592 32737 32882 33027 33172 33317 33462 33607 33752 33897
## [29761] 34042 34187 34332 34477 34622 34767 34912 35057 35202 35347 35492 35637
## [29773] 35782 35927 36072 36217 36362 36507 36652 36797 36942 37087 37232 37377
## [29785] 37522 37667 37812 37957 38102 38247 38392 38537   113   258   403   548
## [29797]   693   838   983  1128  1273  1418  1563  1708  1853  1998  2143  2288
## [29809]  2433  2578  2723  2868  3013  3158  3303  3448  3593  3738  3883  4028
## [29821]  4173  4318  4463  4608  4753  4898  5043  5188  5333  5478  5623  5768
## [29833]  5913  6058  6203  6348  6493  6638  6783  6928  7073  7218  7363  7508
## [29845]  7653  7798  7943  8088  8233  8378  8523  8668  8813  8958  9103  9248
## [29857]  9393  9538  9683  9828  9973 10118 10263 10408 10553 10698 10843 10988
## [29869] 11133 11278 11423 11568 11713 11858 12003 12148 12293 12438 12583 12728
## [29881] 12873 13018 13163 13308 13453 13598 13743 13888 14033 14178 14323 14468
## [29893] 14613 14758 14903 15048 15193 15338 15483 15628 15773 15918 16063 16208
## [29905] 16353 16498 16643 16788 16933 17078 17223 17368 17513 17658 17803 17948
## [29917] 18093 18238 18383 18528 18673 18818 18963 19108 19253 19398 19543 19688
## [29929] 19833 19978 20123 20268 20413 20558 20703 20848 20993 21138 21283 21428
## [29941] 21573 21718 21863 22008 22153 22298 22443 22588 22733 22878 23023 23168
## [29953] 23313 23458 23603 23748 23893 24038 24183 24328 24473 24618 24763 24908
## [29965] 25053 25198 25343 25488 25633 25778 25923 26068 26213 26358 26503 26648
## [29977] 26793 26938 27083 27228 27373 27518 27663 27808 27953 28098 28243 28388
## [29989] 28533 28678 28823 28968 29113 29258 29403 29548 29693 29838 29983 30128
## [30001] 30273 30418 30563 30708 30853 30998 31143 31288 31433 31578 31723 31868
## [30013] 32013 32158 32303 32448 32593 32738 32883 33028 33173 33318 33463 33608
## [30025] 33753 33898 34043 34188 34333 34478 34623 34768 34913 35058 35203 35348
## [30037] 35493 35638 35783 35928 36073 36218 36363 36508 36653 36798 36943 37088
## [30049] 37233 37378 37523 37668 37813 37958 38103 38248 38393 38538   114   259
## [30061]   404   549   694   839   984  1129  1274  1419  1564  1709  1854  1999
## [30073]  2144  2289  2434  2579  2724  2869  3014  3159  3304  3449  3594  3739
## [30085]  3884  4029  4174  4319  4464  4609  4754  4899  5044  5189  5334  5479
## [30097]  5624  5769  5914  6059  6204  6349  6494  6639  6784  6929  7074  7219
## [30109]  7364  7509  7654  7799  7944  8089  8234  8379  8524  8669  8814  8959
## [30121]  9104  9249  9394  9539  9684  9829  9974 10119 10264 10409 10554 10699
## [30133] 10844 10989 11134 11279 11424 11569 11714 11859 12004 12149 12294 12439
## [30145] 12584 12729 12874 13019 13164 13309 13454 13599 13744 13889 14034 14179
## [30157] 14324 14469 14614 14759 14904 15049 15194 15339 15484 15629 15774 15919
## [30169] 16064 16209 16354 16499 16644 16789 16934 17079 17224 17369 17514 17659
## [30181] 17804 17949 18094 18239 18384 18529 18674 18819 18964 19109 19254 19399
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## [30265] 29984 30129 30274 30419 30564 30709 30854 30999 31144 31289 31434 31579
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## [30313] 36944 37089 37234 37379 37524 37669 37814 37959 38104 38249 38394 38539
## [30325]   115   260   405   550   695   840   985  1130  1275  1420  1565  1710
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## [30361]  5335  5480  5625  5770  5915  6060  6205  6350  6495  6640  6785  6930
## [30373]  7075  7220  7365  7510  7655  7800  7945  8090  8235  8380  8525  8670
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## [31141]  2728  2873  3018  3163  3308  3453  3598  3743  3888  4033  4178  4323
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## [31165]  6208  6353  6498  6643  6788  6933  7078  7223  7368  7513  7658  7803
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## [31369] 35788 35933 36078 36223 36368 36513 36658 36803 36948 37093 37238 37383
## [31381] 37528 37673 37818 37963 38108 38253 38398 38543   119   264   409   554
## [31393]   699   844   989  1134  1279  1424  1569  1714  1859  2004  2149  2294
## [31405]  2439  2584  2729  2874  3019  3164  3309  3454  3599  3744  3889  4034
## [31417]  4179  4324  4469  4614  4759  4904  5049  5194  5339  5484  5629  5774
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## [31441]  7659  7804  7949  8094  8239  8384  8529  8674  8819  8964  9109  9254
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## [31525] 19839 19984 20129 20274 20419 20564 20709 20854 20999 21144 21289 21434
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## [31561] 25059 25204 25349 25494 25639 25784 25929 26074 26219 26364 26509 26654
## [31573] 26799 26944 27089 27234 27379 27524 27669 27814 27959 28104 28249 28394
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## [31597] 30279 30424 30569 30714 30859 31004 31149 31294 31439 31584 31729 31874
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## [31621] 33759 33904 34049 34194 34339 34484 34629 34774 34919 35064 35209 35354
## [31633] 35499 35644 35789 35934 36079 36224 36369 36514 36659 36804 36949 37094
## [31645] 37239 37384 37529 37674 37819 37964 38109 38254 38399 38544   120   265
## [31657]   410   555   700   845   990  1135  1280  1425  1570  1715  1860  2005
## [31669]  2150  2295  2440  2585  2730  2875  3020  3165  3310  3455  3600  3745
## [31681]  3890  4035  4180  4325  4470  4615  4760  4905  5050  5195  5340  5485
## [31693]  5630  5775  5920  6065  6210  6355  6500  6645  6790  6935  7080  7225
## [31705]  7370  7515  7660  7805  7950  8095  8240  8385  8530  8675  8820  8965
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## [31789] 19550 19695 19840 19985 20130 20275 20420 20565 20710 20855 21000 21145
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## [31897] 35210 35355 35500 35645 35790 35935 36080 36225 36370 36515 36660 36805
## [31909] 36950 37095 37240 37385 37530 37675 37820 37965 38110 38255 38400 38545
## [31921]   121   266   411   556   701   846   991  1136  1281  1426  1571  1716
## [31933]  1861  2006  2151  2296  2441  2586  2731  2876  3021  3166  3311  3456
## [31945]  3601  3746  3891  4036  4181  4326  4471  4616  4761  4906  5051  5196
## [31957]  5341  5486  5631  5776  5921  6066  6211  6356  6501  6646  6791  6936
## [31969]  7081  7226  7371  7516  7661  7806  7951  8096  8241  8386  8531  8676
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## [32137] 31441 31586 31731 31876 32021 32166 32311 32456 32601 32746 32891 33036
## [32149] 33181 33326 33471 33616 33761 33906 34051 34196 34341 34486 34631 34776
## [32161] 34921 35066 35211 35356 35501 35646 35791 35936 36081 36226 36371 36516
## [32173] 36661 36806 36951 37096 37241 37386 37531 37676 37821 37966 38111 38256
## [32185] 38401 38546   122   267   412   557   702   847   992  1137  1282  1427
## [32197]  1572  1717  1862  2007  2152  2297  2442  2587  2732  2877  3022  3167
## [32209]  3312  3457  3602  3747  3892  4037  4182  4327  4472  4617  4762  4907
## [32221]  5052  5197  5342  5487  5632  5777  5922  6067  6212  6357  6502  6647
## [32233]  6792  6937  7082  7227  7372  7517  7662  7807  7952  8097  8242  8387
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## [32401] 31152 31297 31442 31587 31732 31877 32022 32167 32312 32457 32602 32747
## [32413] 32892 33037 33182 33327 33472 33617 33762 33907 34052 34197 34342 34487
## [32425] 34632 34777 34922 35067 35212 35357 35502 35647 35792 35937 36082 36227
## [32437] 36372 36517 36662 36807 36952 37097 37242 37387 37532 37677 37822 37967
## [32449] 38112 38257 38402 38547   123   268   413   558   703   848   993  1138
## [32461]  1283  1428  1573  1718  1863  2008  2153  2298  2443  2588  2733  2878
## [32473]  3023  3168  3313  3458  3603  3748  3893  4038  4183  4328  4473  4618
## [32485]  4763  4908  5053  5198  5343  5488  5633  5778  5923  6068  6213  6358
## [32497]  6503  6648  6793  6938  7083  7228  7373  7518  7663  7808  7953  8098
## [32509]  8243  8388  8533  8678  8823  8968  9113  9258  9403  9548  9693  9838
## [32521]  9983 10128 10273 10418 10563 10708 10853 10998 11143 11288 11433 11578
## [32533] 11723 11868 12013 12158 12303 12448 12593 12738 12883 13028 13173 13318
## [32545] 13463 13608 13753 13898 14043 14188 14333 14478 14623 14768 14913 15058
## [32557] 15203 15348 15493 15638 15783 15928 16073 16218 16363 16508 16653 16798
## [32569] 16943 17088 17233 17378 17523 17668 17813 17958 18103 18248 18393 18538
## [32581] 18683 18828 18973 19118 19263 19408 19553 19698 19843 19988 20133 20278
## [32593] 20423 20568 20713 20858 21003 21148 21293 21438 21583 21728 21873 22018
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## [32641] 27383 27528 27673 27818 27963 28108 28253 28398 28543 28688 28833 28978
## [32653] 29123 29268 29413 29558 29703 29848 29993 30138 30283 30428 30573 30718
## [32665] 30863 31008 31153 31298 31443 31588 31733 31878 32023 32168 32313 32458
## [32677] 32603 32748 32893 33038 33183 33328 33473 33618 33763 33908 34053 34198
## [32689] 34343 34488 34633 34778 34923 35068 35213 35358 35503 35648 35793 35938
## [32701] 36083 36228 36373 36518 36663 36808 36953 37098 37243 37388 37533 37678
## [32713] 37823 37968 38113 38258 38403 38548   124   269   414   559   704   849
## [32725]   994  1139  1284  1429  1574  1719  1864  2009  2154  2299  2444  2589
## [32737]  2734  2879  3024  3169  3314  3459  3604  3749  3894  4039  4184  4329
## [32749]  4474  4619  4764  4909  5054  5199  5344  5489  5634  5779  5924  6069
## [32761]  6214  6359  6504  6649  6794  6939  7084  7229  7374  7519  7664  7809
## [32773]  7954  8099  8244  8389  8534  8679  8824  8969  9114  9259  9404  9549
## [32785]  9694  9839  9984 10129 10274 10419 10564 10709 10854 10999 11144 11289
## [32797] 11434 11579 11724 11869 12014 12159 12304 12449 12594 12739 12884 13029
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## [32821] 14914 15059 15204 15349 15494 15639 15784 15929 16074 16219 16364 16509
## [32833] 16654 16799 16944 17089 17234 17379 17524 17669 17814 17959 18104 18249
## [32845] 18394 18539 18684 18829 18974 19119 19264 19409 19554 19699 19844 19989
## [32857] 20134 20279 20424 20569 20714 20859 21004 21149 21294 21439 21584 21729
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## [32881] 23614 23759 23904 24049 24194 24339 24484 24629 24774 24919 25064 25209
## [32893] 25354 25499 25644 25789 25934 26079 26224 26369 26514 26659 26804 26949
## [32905] 27094 27239 27384 27529 27674 27819 27964 28109 28254 28399 28544 28689
## [32917] 28834 28979 29124 29269 29414 29559 29704 29849 29994 30139 30284 30429
## [32929] 30574 30719 30864 31009 31154 31299 31444 31589 31734 31879 32024 32169
## [32941] 32314 32459 32604 32749 32894 33039 33184 33329 33474 33619 33764 33909
## [32953] 34054 34199 34344 34489 34634 34779 34924 35069 35214 35359 35504 35649
## [32965] 35794 35939 36084 36229 36374 36519 36664 36809 36954 37099 37244 37389
## [32977] 37534 37679 37824 37969 38114 38259 38404 38549   125   270   415   560
## [32989]   705   850   995  1140  1285  1430  1575  1720  1865  2010  2155  2300
## [33001]  2445  2590  2735  2880  3025  3170  3315  3460  3605  3750  3895  4040
## [33013]  4185  4330  4475  4620  4765  4910  5055  5200  5345  5490  5635  5780
## [33025]  5925  6070  6215  6360  6505  6650  6795  6940  7085  7230  7375  7520
## [33037]  7665  7810  7955  8100  8245  8390  8535  8680  8825  8970  9115  9260
## [33049]  9405  9550  9695  9840  9985 10130 10275 10420 10565 10710 10855 11000
## [33061] 11145 11290 11435 11580 11725 11870 12015 12160 12305 12450 12595 12740
## [33073] 12885 13030 13175 13320 13465 13610 13755 13900 14045 14190 14335 14480
## [33085] 14625 14770 14915 15060 15205 15350 15495 15640 15785 15930 16075 16220
## [33097] 16365 16510 16655 16800 16945 17090 17235 17380 17525 17670 17815 17960
## [33109] 18105 18250 18395 18540 18685 18830 18975 19120 19265 19410 19555 19700
## [33121] 19845 19990 20135 20280 20425 20570 20715 20860 21005 21150 21295 21440
## [33133] 21585 21730 21875 22020 22165 22310 22455 22600 22745 22890 23035 23180
## [33145] 23325 23470 23615 23760 23905 24050 24195 24340 24485 24630 24775 24920
## [33157] 25065 25210 25355 25500 25645 25790 25935 26080 26225 26370 26515 26660
## [33169] 26805 26950 27095 27240 27385 27530 27675 27820 27965 28110 28255 28400
## [33181] 28545 28690 28835 28980 29125 29270 29415 29560 29705 29850 29995 30140
## [33193] 30285 30430 30575 30720 30865 31010 31155 31300 31445 31590 31735 31880
## [33205] 32025 32170 32315 32460 32605 32750 32895 33040 33185 33330 33475 33620
## [33217] 33765 33910 34055 34200 34345 34490 34635 34780 34925 35070 35215 35360
## [33229] 35505 35650 35795 35940 36085 36230 36375 36520 36665 36810 36955 37100
## [33241] 37245 37390 37535 37680 37825 37970 38115 38260 38405 38550   126   271
## [33253]   416   561   706   851   996  1141  1286  1431  1576  1721  1866  2011
## [33265]  2156  2301  2446  2591  2736  2881  3026  3171  3316  3461  3606  3751
## [33277]  3896  4041  4186  4331  4476  4621  4766  4911  5056  5201  5346  5491
## [33289]  5636  5781  5926  6071  6216  6361  6506  6651  6796  6941  7086  7231
## [33301]  7376  7521  7666  7811  7956  8101  8246  8391  8536  8681  8826  8971
## [33313]  9116  9261  9406  9551  9696  9841  9986 10131 10276 10421 10566 10711
## [33325] 10856 11001 11146 11291 11436 11581 11726 11871 12016 12161 12306 12451
## [33337] 12596 12741 12886 13031 13176 13321 13466 13611 13756 13901 14046 14191
## [33349] 14336 14481 14626 14771 14916 15061 15206 15351 15496 15641 15786 15931
## [33361] 16076 16221 16366 16511 16656 16801 16946 17091 17236 17381 17526 17671
## [33373] 17816 17961 18106 18251 18396 18541 18686 18831 18976 19121 19266 19411
## [33385] 19556 19701 19846 19991 20136 20281 20426 20571 20716 20861 21006 21151
## [33397] 21296 21441 21586 21731 21876 22021 22166 22311 22456 22601 22746 22891
## [33409] 23036 23181 23326 23471 23616 23761 23906 24051 24196 24341 24486 24631
## [33421] 24776 24921 25066 25211 25356 25501 25646 25791 25936 26081 26226 26371
## [33433] 26516 26661 26806 26951 27096 27241 27386 27531 27676 27821 27966 28111
## [33445] 28256 28401 28546 28691 28836 28981 29126 29271 29416 29561 29706 29851
## [33457] 29996 30141 30286 30431 30576 30721 30866 31011 31156 31301 31446 31591
## [33469] 31736 31881 32026 32171 32316 32461 32606 32751 32896 33041 33186 33331
## [33481] 33476 33621 33766 33911 34056 34201 34346 34491 34636 34781 34926 35071
## [33493] 35216 35361 35506 35651 35796 35941 36086 36231 36376 36521 36666 36811
## [33505] 36956 37101 37246 37391 37536 37681 37826 37971 38116 38261 38406 38551
## [33517]   127   272   417   562   707   852   997  1142  1287  1432  1577  1722
## [33529]  1867  2012  2157  2302  2447  2592  2737  2882  3027  3172  3317  3462
## [33541]  3607  3752  3897  4042  4187  4332  4477  4622  4767  4912  5057  5202
## [33553]  5347  5492  5637  5782  5927  6072  6217  6362  6507  6652  6797  6942
## [33565]  7087  7232  7377  7522  7667  7812  7957  8102  8247  8392  8537  8682
## [33577]  8827  8972  9117  9262  9407  9552  9697  9842  9987 10132 10277 10422
## [33589] 10567 10712 10857 11002 11147 11292 11437 11582 11727 11872 12017 12162
## [33601] 12307 12452 12597 12742 12887 13032 13177 13322 13467 13612 13757 13902
## [33613] 14047 14192 14337 14482 14627 14772 14917 15062 15207 15352 15497 15642
## [33625] 15787 15932 16077 16222 16367 16512 16657 16802 16947 17092 17237 17382
## [33637] 17527 17672 17817 17962 18107 18252 18397 18542 18687 18832 18977 19122
## [33649] 19267 19412 19557 19702 19847 19992 20137 20282 20427 20572 20717 20862
## [33661] 21007 21152 21297 21442 21587 21732 21877 22022 22167 22312 22457 22602
## [33673] 22747 22892 23037 23182 23327 23472 23617 23762 23907 24052 24197 24342
## [33685] 24487 24632 24777 24922 25067 25212 25357 25502 25647 25792 25937 26082
## [33697] 26227 26372 26517 26662 26807 26952 27097 27242 27387 27532 27677 27822
## [33709] 27967 28112 28257 28402 28547 28692 28837 28982 29127 29272 29417 29562
## [33721] 29707 29852 29997 30142 30287 30432 30577 30722 30867 31012 31157 31302
## [33733] 31447 31592 31737 31882 32027 32172 32317 32462 32607 32752 32897 33042
## [33745] 33187 33332 33477 33622 33767 33912 34057 34202 34347 34492 34637 34782
## [33757] 34927 35072 35217 35362 35507 35652 35797 35942 36087 36232 36377 36522
## [33769] 36667 36812 36957 37102 37247 37392 37537 37682 37827 37972 38117 38262
## [33781] 38407 38552   128   273   418   563   708   853   998  1143  1288  1433
## [33793]  1578  1723  1868  2013  2158  2303  2448  2593  2738  2883  3028  3173
## [33805]  3318  3463  3608  3753  3898  4043  4188  4333  4478  4623  4768  4913
## [33817]  5058  5203  5348  5493  5638  5783  5928  6073  6218  6363  6508  6653
## [33829]  6798  6943  7088  7233  7378  7523  7668  7813  7958  8103  8248  8393
## [33841]  8538  8683  8828  8973  9118  9263  9408  9553  9698  9843  9988 10133
## [33853] 10278 10423 10568 10713 10858 11003 11148 11293 11438 11583 11728 11873
## [33865] 12018 12163 12308 12453 12598 12743 12888 13033 13178 13323 13468 13613
## [33877] 13758 13903 14048 14193 14338 14483 14628 14773 14918 15063 15208 15353
## [33889] 15498 15643 15788 15933 16078 16223 16368 16513 16658 16803 16948 17093
## [33901] 17238 17383 17528 17673 17818 17963 18108 18253 18398 18543 18688 18833
## [33913] 18978 19123 19268 19413 19558 19703 19848 19993 20138 20283 20428 20573
## [33925] 20718 20863 21008 21153 21298 21443 21588 21733 21878 22023 22168 22313
## [33937] 22458 22603 22748 22893 23038 23183 23328 23473 23618 23763 23908 24053
## [33949] 24198 24343 24488 24633 24778 24923 25068 25213 25358 25503 25648 25793
## [33961] 25938 26083 26228 26373 26518 26663 26808 26953 27098 27243 27388 27533
## [33973] 27678 27823 27968 28113 28258 28403 28548 28693 28838 28983 29128 29273
## [33985] 29418 29563 29708 29853 29998 30143 30288 30433 30578 30723 30868 31013
## [33997] 31158 31303 31448 31593 31738 31883 32028 32173 32318 32463 32608 32753
## [34009] 32898 33043 33188 33333 33478 33623 33768 33913 34058 34203 34348 34493
## [34021] 34638 34783 34928 35073 35218 35363 35508 35653 35798 35943 36088 36233
## [34033] 36378 36523 36668 36813 36958 37103 37248 37393 37538 37683 37828 37973
## [34045] 38118 38263 38408 38553   129   274   419   564   709   854   999  1144
## [34057]  1289  1434  1579  1724  1869  2014  2159  2304  2449  2594  2739  2884
## [34069]  3029  3174  3319  3464  3609  3754  3899  4044  4189  4334  4479  4624
## [34081]  4769  4914  5059  5204  5349  5494  5639  5784  5929  6074  6219  6364
## [34093]  6509  6654  6799  6944  7089  7234  7379  7524  7669  7814  7959  8104
## [34105]  8249  8394  8539  8684  8829  8974  9119  9264  9409  9554  9699  9844
## [34117]  9989 10134 10279 10424 10569 10714 10859 11004 11149 11294 11439 11584
## [34129] 11729 11874 12019 12164 12309 12454 12599 12744 12889 13034 13179 13324
## [34141] 13469 13614 13759 13904 14049 14194 14339 14484 14629 14774 14919 15064
## [34153] 15209 15354 15499 15644 15789 15934 16079 16224 16369 16514 16659 16804
## [34165] 16949 17094 17239 17384 17529 17674 17819 17964 18109 18254 18399 18544
## [34177] 18689 18834 18979 19124 19269 19414 19559 19704 19849 19994 20139 20284
## [34189] 20429 20574 20719 20864 21009 21154 21299 21444 21589 21734 21879 22024
## [34201] 22169 22314 22459 22604 22749 22894 23039 23184 23329 23474 23619 23764
## [34213] 23909 24054 24199 24344 24489 24634 24779 24924 25069 25214 25359 25504
## [34225] 25649 25794 25939 26084 26229 26374 26519 26664 26809 26954 27099 27244
## [34237] 27389 27534 27679 27824 27969 28114 28259 28404 28549 28694 28839 28984
## [34249] 29129 29274 29419 29564 29709 29854 29999 30144 30289 30434 30579 30724
## [34261] 30869 31014 31159 31304 31449 31594 31739 31884 32029 32174 32319 32464
## [34273] 32609 32754 32899 33044 33189 33334 33479 33624 33769 33914 34059 34204
## [34285] 34349 34494 34639 34784 34929 35074 35219 35364 35509 35654 35799 35944
## [34297] 36089 36234 36379 36524 36669 36814 36959 37104 37249 37394 37539 37684
## [34309] 37829 37974 38119 38264 38409 38554   130   275   420   565   710   855
## [34321]  1000  1145  1290  1435  1580  1725  1870  2015  2160  2305  2450  2595
## [34333]  2740  2885  3030  3175  3320  3465  3610  3755  3900  4045  4190  4335
## [34345]  4480  4625  4770  4915  5060  5205  5350  5495  5640  5785  5930  6075
## [34357]  6220  6365  6510  6655  6800  6945  7090  7235  7380  7525  7670  7815
## [34369]  7960  8105  8250  8395  8540  8685  8830  8975  9120  9265  9410  9555
## [34381]  9700  9845  9990 10135 10280 10425 10570 10715 10860 11005 11150 11295
## [34393] 11440 11585 11730 11875 12020 12165 12310 12455 12600 12745 12890 13035
## [34405] 13180 13325 13470 13615 13760 13905 14050 14195 14340 14485 14630 14775
## [34417] 14920 15065 15210 15355 15500 15645 15790 15935 16080 16225 16370 16515
## [34429] 16660 16805 16950 17095 17240 17385 17530 17675 17820 17965 18110 18255
## [34441] 18400 18545 18690 18835 18980 19125 19270 19415 19560 19705 19850 19995
## [34453] 20140 20285 20430 20575 20720 20865 21010 21155 21300 21445 21590 21735
## [34465] 21880 22025 22170 22315 22460 22605 22750 22895 23040 23185 23330 23475
## [34477] 23620 23765 23910 24055 24200 24345 24490 24635 24780 24925 25070 25215
## [34489] 25360 25505 25650 25795 25940 26085 26230 26375 26520 26665 26810 26955
## [34501] 27100 27245 27390 27535 27680 27825 27970 28115 28260 28405 28550 28695
## [34513] 28840 28985 29130 29275 29420 29565 29710 29855 30000 30145 30290 30435
## [34525] 30580 30725 30870 31015 31160 31305 31450 31595 31740 31885 32030 32175
## [34537] 32320 32465 32610 32755 32900 33045 33190 33335 33480 33625 33770 33915
## [34549] 34060 34205 34350 34495 34640 34785 34930 35075 35220 35365 35510 35655
## [34561] 35800 35945 36090 36235 36380 36525 36670 36815 36960 37105 37250 37395
## [34573] 37540 37685 37830 37975 38120 38265 38410 38555   131   276   421   566
## [34585]   711   856  1001  1146  1291  1436  1581  1726  1871  2016  2161  2306
## [34597]  2451  2596  2741  2886  3031  3176  3321  3466  3611  3756  3901  4046
## [34609]  4191  4336  4481  4626  4771  4916  5061  5206  5351  5496  5641  5786
## [34621]  5931  6076  6221  6366  6511  6656  6801  6946  7091  7236  7381  7526
## [34633]  7671  7816  7961  8106  8251  8396  8541  8686  8831  8976  9121  9266
## [34645]  9411  9556  9701  9846  9991 10136 10281 10426 10571 10716 10861 11006
## [34657] 11151 11296 11441 11586 11731 11876 12021 12166 12311 12456 12601 12746
## [34669] 12891 13036 13181 13326 13471 13616 13761 13906 14051 14196 14341 14486
## [34681] 14631 14776 14921 15066 15211 15356 15501 15646 15791 15936 16081 16226
## [34693] 16371 16516 16661 16806 16951 17096 17241 17386 17531 17676 17821 17966
## [34705] 18111 18256 18401 18546 18691 18836 18981 19126 19271 19416 19561 19706
## [34717] 19851 19996 20141 20286 20431 20576 20721 20866 21011 21156 21301 21446
## [34729] 21591 21736 21881 22026 22171 22316 22461 22606 22751 22896 23041 23186
## [34741] 23331 23476 23621 23766 23911 24056 24201 24346 24491 24636 24781 24926
## [34753] 25071 25216 25361 25506 25651 25796 25941 26086 26231 26376 26521 26666
## [34765] 26811 26956 27101 27246 27391 27536 27681 27826 27971 28116 28261 28406
## [34777] 28551 28696 28841 28986 29131 29276 29421 29566 29711 29856 30001 30146
## [34789] 30291 30436 30581 30726 30871 31016 31161 31306 31451 31596 31741 31886
## [34801] 32031 32176 32321 32466 32611 32756 32901 33046 33191 33336 33481 33626
## [34813] 33771 33916 34061 34206 34351 34496 34641 34786 34931 35076 35221 35366
## [34825] 35511 35656 35801 35946 36091 36236 36381 36526 36671 36816 36961 37106
## [34837] 37251 37396 37541 37686 37831 37976 38121 38266 38411 38556   132   277
## [34849]   422   567   712   857  1002  1147  1292  1437  1582  1727  1872  2017
## [34861]  2162  2307  2452  2597  2742  2887  3032  3177  3322  3467  3612  3757
## [34873]  3902  4047  4192  4337  4482  4627  4772  4917  5062  5207  5352  5497
## [34885]  5642  5787  5932  6077  6222  6367  6512  6657  6802  6947  7092  7237
## [34897]  7382  7527  7672  7817  7962  8107  8252  8397  8542  8687  8832  8977
## [34909]  9122  9267  9412  9557  9702  9847  9992 10137 10282 10427 10572 10717
## [34921] 10862 11007 11152 11297 11442 11587 11732 11877 12022 12167 12312 12457
## [34933] 12602 12747 12892 13037 13182 13327 13472 13617 13762 13907 14052 14197
## [34945] 14342 14487 14632 14777 14922 15067 15212 15357 15502 15647 15792 15937
## [34957] 16082 16227 16372 16517 16662 16807 16952 17097 17242 17387 17532 17677
## [34969] 17822 17967 18112 18257 18402 18547 18692 18837 18982 19127 19272 19417
## [34981] 19562 19707 19852 19997 20142 20287 20432 20577 20722 20867 21012 21157
## [34993] 21302 21447 21592 21737 21882 22027 22172 22317 22462 22607 22752 22897
## [35005] 23042 23187 23332 23477 23622 23767 23912 24057 24202 24347 24492 24637
## [35017] 24782 24927 25072 25217 25362 25507 25652 25797 25942 26087 26232 26377
## [35029] 26522 26667 26812 26957 27102 27247 27392 27537 27682 27827 27972 28117
## [35041] 28262 28407 28552 28697 28842 28987 29132 29277 29422 29567 29712 29857
## [35053] 30002 30147 30292 30437 30582 30727 30872 31017 31162 31307 31452 31597
## [35065] 31742 31887 32032 32177 32322 32467 32612 32757 32902 33047 33192 33337
## [35077] 33482 33627 33772 33917 34062 34207 34352 34497 34642 34787 34932 35077
## [35089] 35222 35367 35512 35657 35802 35947 36092 36237 36382 36527 36672 36817
## [35101] 36962 37107 37252 37397 37542 37687 37832 37977 38122 38267 38412 38557
## [35113]   133   278   423   568   713   858  1003  1148  1293  1438  1583  1728
## [35125]  1873  2018  2163  2308  2453  2598  2743  2888  3033  3178  3323  3468
## [35137]  3613  3758  3903  4048  4193  4338  4483  4628  4773  4918  5063  5208
## [35149]  5353  5498  5643  5788  5933  6078  6223  6368  6513  6658  6803  6948
## [35161]  7093  7238  7383  7528  7673  7818  7963  8108  8253  8398  8543  8688
## [35173]  8833  8978  9123  9268  9413  9558  9703  9848  9993 10138 10283 10428
## [35185] 10573 10718 10863 11008 11153 11298 11443 11588 11733 11878 12023 12168
## [35197] 12313 12458 12603 12748 12893 13038 13183 13328 13473 13618 13763 13908
## [35209] 14053 14198 14343 14488 14633 14778 14923 15068 15213 15358 15503 15648
## [35221] 15793 15938 16083 16228 16373 16518 16663 16808 16953 17098 17243 17388
## [35233] 17533 17678 17823 17968 18113 18258 18403 18548 18693 18838 18983 19128
## [35245] 19273 19418 19563 19708 19853 19998 20143 20288 20433 20578 20723 20868
## [35257] 21013 21158 21303 21448 21593 21738 21883 22028 22173 22318 22463 22608
## [35269] 22753 22898 23043 23188 23333 23478 23623 23768 23913 24058 24203 24348
## [35281] 24493 24638 24783 24928 25073 25218 25363 25508 25653 25798 25943 26088
## [35293] 26233 26378 26523 26668 26813 26958 27103 27248 27393 27538 27683 27828
## [35305] 27973 28118 28263 28408 28553 28698 28843 28988 29133 29278 29423 29568
## [35317] 29713 29858 30003 30148 30293 30438 30583 30728 30873 31018 31163 31308
## [35329] 31453 31598 31743 31888 32033 32178 32323 32468 32613 32758 32903 33048
## [35341] 33193 33338 33483 33628 33773 33918 34063 34208 34353 34498 34643 34788
## [35353] 34933 35078 35223 35368 35513 35658 35803 35948 36093 36238 36383 36528
## [35365] 36673 36818 36963 37108 37253 37398 37543 37688 37833 37978 38123 38268
## [35377] 38413 38558   134   279   424   569   714   859  1004  1149  1294  1439
## [35389]  1584  1729  1874  2019  2164  2309  2454  2599  2744  2889  3034  3179
## [35401]  3324  3469  3614  3759  3904  4049  4194  4339  4484  4629  4774  4919
## [35413]  5064  5209  5354  5499  5644  5789  5934  6079  6224  6369  6514  6659
## [35425]  6804  6949  7094  7239  7384  7529  7674  7819  7964  8109  8254  8399
## [35437]  8544  8689  8834  8979  9124  9269  9414  9559  9704  9849  9994 10139
## [35449] 10284 10429 10574 10719 10864 11009 11154 11299 11444 11589 11734 11879
## [35461] 12024 12169 12314 12459 12604 12749 12894 13039 13184 13329 13474 13619
## [35473] 13764 13909 14054 14199 14344 14489 14634 14779 14924 15069 15214 15359
## [35485] 15504 15649 15794 15939 16084 16229 16374 16519 16664 16809 16954 17099
## [35497] 17244 17389 17534 17679 17824 17969 18114 18259 18404 18549 18694 18839
## [35509] 18984 19129 19274 19419 19564 19709 19854 19999 20144 20289 20434 20579
## [35521] 20724 20869 21014 21159 21304 21449 21594 21739 21884 22029 22174 22319
## [35533] 22464 22609 22754 22899 23044 23189 23334 23479 23624 23769 23914 24059
## [35545] 24204 24349 24494 24639 24784 24929 25074 25219 25364 25509 25654 25799
## [35557] 25944 26089 26234 26379 26524 26669 26814 26959 27104 27249 27394 27539
## [35569] 27684 27829 27974 28119 28264 28409 28554 28699 28844 28989 29134 29279
## [35581] 29424 29569 29714 29859 30004 30149 30294 30439 30584 30729 30874 31019
## [35593] 31164 31309 31454 31599 31744 31889 32034 32179 32324 32469 32614 32759
## [35605] 32904 33049 33194 33339 33484 33629 33774 33919 34064 34209 34354 34499
## [35617] 34644 34789 34934 35079 35224 35369 35514 35659 35804 35949 36094 36239
## [35629] 36384 36529 36674 36819 36964 37109 37254 37399 37544 37689 37834 37979
## [35641] 38124 38269 38414 38559   135   280   425   570   715   860  1005  1150
## [35653]  1295  1440  1585  1730  1875  2020  2165  2310  2455  2600  2745  2890
## [35665]  3035  3180  3325  3470  3615  3760  3905  4050  4195  4340  4485  4630
## [35677]  4775  4920  5065  5210  5355  5500  5645  5790  5935  6080  6225  6370
## [35689]  6515  6660  6805  6950  7095  7240  7385  7530  7675  7820  7965  8110
## [35701]  8255  8400  8545  8690  8835  8980  9125  9270  9415  9560  9705  9850
## [35713]  9995 10140 10285 10430 10575 10720 10865 11010 11155 11300 11445 11590
## [35725] 11735 11880 12025 12170 12315 12460 12605 12750 12895 13040 13185 13330
## [35737] 13475 13620 13765 13910 14055 14200 14345 14490 14635 14780 14925 15070
## [35749] 15215 15360 15505 15650 15795 15940 16085 16230 16375 16520 16665 16810
## [35761] 16955 17100 17245 17390 17535 17680 17825 17970 18115 18260 18405 18550
## [35773] 18695 18840 18985 19130 19275 19420 19565 19710 19855 20000 20145 20290
## [35785] 20435 20580 20725 20870 21015 21160 21305 21450 21595 21740 21885 22030
## [35797] 22175 22320 22465 22610 22755 22900 23045 23190 23335 23480 23625 23770
## [35809] 23915 24060 24205 24350 24495 24640 24785 24930 25075 25220 25365 25510
## [35821] 25655 25800 25945 26090 26235 26380 26525 26670 26815 26960 27105 27250
## [35833] 27395 27540 27685 27830 27975 28120 28265 28410 28555 28700 28845 28990
## [35845] 29135 29280 29425 29570 29715 29860 30005 30150 30295 30440 30585 30730
## [35857] 30875 31020 31165 31310 31455 31600 31745 31890 32035 32180 32325 32470
## [35869] 32615 32760 32905 33050 33195 33340 33485 33630 33775 33920 34065 34210
## [35881] 34355 34500 34645 34790 34935 35080 35225 35370 35515 35660 35805 35950
## [35893] 36095 36240 36385 36530 36675 36820 36965 37110 37255 37400 37545 37690
## [35905] 37835 37980 38125 38270 38415 38560   136   281   426   571   716   861
## [35917]  1006  1151  1296  1441  1586  1731  1876  2021  2166  2311  2456  2601
## [35929]  2746  2891  3036  3181  3326  3471  3616  3761  3906  4051  4196  4341
## [35941]  4486  4631  4776  4921  5066  5211  5356  5501  5646  5791  5936  6081
## [35953]  6226  6371  6516  6661  6806  6951  7096  7241  7386  7531  7676  7821
## [35965]  7966  8111  8256  8401  8546  8691  8836  8981  9126  9271  9416  9561
## [35977]  9706  9851  9996 10141 10286 10431 10576 10721 10866 11011 11156 11301
## [35989] 11446 11591 11736 11881 12026 12171 12316 12461 12606 12751 12896 13041
## [36001] 13186 13331 13476 13621 13766 13911 14056 14201 14346 14491 14636 14781
## [36013] 14926 15071 15216 15361 15506 15651 15796 15941 16086 16231 16376 16521
## [36025] 16666 16811 16956 17101 17246 17391 17536 17681 17826 17971 18116 18261
## [36037] 18406 18551 18696 18841 18986 19131 19276 19421 19566 19711 19856 20001
## [36049] 20146 20291 20436 20581 20726 20871 21016 21161 21306 21451 21596 21741
## [36061] 21886 22031 22176 22321 22466 22611 22756 22901 23046 23191 23336 23481
## [36073] 23626 23771 23916 24061 24206 24351 24496 24641 24786 24931 25076 25221
## [36085] 25366 25511 25656 25801 25946 26091 26236 26381 26526 26671 26816 26961
## [36097] 27106 27251 27396 27541 27686 27831 27976 28121 28266 28411 28556 28701
## [36109] 28846 28991 29136 29281 29426 29571 29716 29861 30006 30151 30296 30441
## [36121] 30586 30731 30876 31021 31166 31311 31456 31601 31746 31891 32036 32181
## [36133] 32326 32471 32616 32761 32906 33051 33196 33341 33486 33631 33776 33921
## [36145] 34066 34211 34356 34501 34646 34791 34936 35081 35226 35371 35516 35661
## [36157] 35806 35951 36096 36241 36386 36531 36676 36821 36966 37111 37256 37401
## [36169] 37546 37691 37836 37981 38126 38271 38416 38561   137   282   427   572
## [36181]   717   862  1007  1152  1297  1442  1587  1732  1877  2022  2167  2312
## [36193]  2457  2602  2747  2892  3037  3182  3327  3472  3617  3762  3907  4052
## [36205]  4197  4342  4487  4632  4777  4922  5067  5212  5357  5502  5647  5792
## [36217]  5937  6082  6227  6372  6517  6662  6807  6952  7097  7242  7387  7532
## [36229]  7677  7822  7967  8112  8257  8402  8547  8692  8837  8982  9127  9272
## [36241]  9417  9562  9707  9852  9997 10142 10287 10432 10577 10722 10867 11012
## [36253] 11157 11302 11447 11592 11737 11882 12027 12172 12317 12462 12607 12752
## [36265] 12897 13042 13187 13332 13477 13622 13767 13912 14057 14202 14347 14492
## [36277] 14637 14782 14927 15072 15217 15362 15507 15652 15797 15942 16087 16232
## [36289] 16377 16522 16667 16812 16957 17102 17247 17392 17537 17682 17827 17972
## [36301] 18117 18262 18407 18552 18697 18842 18987 19132 19277 19422 19567 19712
## [36313] 19857 20002 20147 20292 20437 20582 20727 20872 21017 21162 21307 21452
## [36325] 21597 21742 21887 22032 22177 22322 22467 22612 22757 22902 23047 23192
## [36337] 23337 23482 23627 23772 23917 24062 24207 24352 24497 24642 24787 24932
## [36349] 25077 25222 25367 25512 25657 25802 25947 26092 26237 26382 26527 26672
## [36361] 26817 26962 27107 27252 27397 27542 27687 27832 27977 28122 28267 28412
## [36373] 28557 28702 28847 28992 29137 29282 29427 29572 29717 29862 30007 30152
## [36385] 30297 30442 30587 30732 30877 31022 31167 31312 31457 31602 31747 31892
## [36397] 32037 32182 32327 32472 32617 32762 32907 33052 33197 33342 33487 33632
## [36409] 33777 33922 34067 34212 34357 34502 34647 34792 34937 35082 35227 35372
## [36421] 35517 35662 35807 35952 36097 36242 36387 36532 36677 36822 36967 37112
## [36433] 37257 37402 37547 37692 37837 37982 38127 38272 38417 38562   138   283
## [36445]   428   573   718   863  1008  1153  1298  1443  1588  1733  1878  2023
## [36457]  2168  2313  2458  2603  2748  2893  3038  3183  3328  3473  3618  3763
## [36469]  3908  4053  4198  4343  4488  4633  4778  4923  5068  5213  5358  5503
## [36481]  5648  5793  5938  6083  6228  6373  6518  6663  6808  6953  7098  7243
## [36493]  7388  7533  7678  7823  7968  8113  8258  8403  8548  8693  8838  8983
## [36505]  9128  9273  9418  9563  9708  9853  9998 10143 10288 10433 10578 10723
## [36517] 10868 11013 11158 11303 11448 11593 11738 11883 12028 12173 12318 12463
## [36529] 12608 12753 12898 13043 13188 13333 13478 13623 13768 13913 14058 14203
## [36541] 14348 14493 14638 14783 14928 15073 15218 15363 15508 15653 15798 15943
## [36553] 16088 16233 16378 16523 16668 16813 16958 17103 17248 17393 17538 17683
## [36565] 17828 17973 18118 18263 18408 18553 18698 18843 18988 19133 19278 19423
## [36577] 19568 19713 19858 20003 20148 20293 20438 20583 20728 20873 21018 21163
## [36589] 21308 21453 21598 21743 21888 22033 22178 22323 22468 22613 22758 22903
## [36601] 23048 23193 23338 23483 23628 23773 23918 24063 24208 24353 24498 24643
## [36613] 24788 24933 25078 25223 25368 25513 25658 25803 25948 26093 26238 26383
## [36625] 26528 26673 26818 26963 27108 27253 27398 27543 27688 27833 27978 28123
## [36637] 28268 28413 28558 28703 28848 28993 29138 29283 29428 29573 29718 29863
## [36649] 30008 30153 30298 30443 30588 30733 30878 31023 31168 31313 31458 31603
## [36661] 31748 31893 32038 32183 32328 32473 32618 32763 32908 33053 33198 33343
## [36673] 33488 33633 33778 33923 34068 34213 34358 34503 34648 34793 34938 35083
## [36685] 35228 35373 35518 35663 35808 35953 36098 36243 36388 36533 36678 36823
## [36697] 36968 37113 37258 37403 37548 37693 37838 37983 38128 38273 38418 38563
## [36709]   139   284   429   574   719   864  1009  1154  1299  1444  1589  1734
## [36721]  1879  2024  2169  2314  2459  2604  2749  2894  3039  3184  3329  3474
## [36733]  3619  3764  3909  4054  4199  4344  4489  4634  4779  4924  5069  5214
## [36745]  5359  5504  5649  5794  5939  6084  6229  6374  6519  6664  6809  6954
## [36757]  7099  7244  7389  7534  7679  7824  7969  8114  8259  8404  8549  8694
## [36769]  8839  8984  9129  9274  9419  9564  9709  9854  9999 10144 10289 10434
## [36781] 10579 10724 10869 11014 11159 11304 11449 11594 11739 11884 12029 12174
## [36793] 12319 12464 12609 12754 12899 13044 13189 13334 13479 13624 13769 13914
## [36805] 14059 14204 14349 14494 14639 14784 14929 15074 15219 15364 15509 15654
## [36817] 15799 15944 16089 16234 16379 16524 16669 16814 16959 17104 17249 17394
## [36829] 17539 17684 17829 17974 18119 18264 18409 18554 18699 18844 18989 19134
## [36841] 19279 19424 19569 19714 19859 20004 20149 20294 20439 20584 20729 20874
## [36853] 21019 21164 21309 21454 21599 21744 21889 22034 22179 22324 22469 22614
## [36865] 22759 22904 23049 23194 23339 23484 23629 23774 23919 24064 24209 24354
## [36877] 24499 24644 24789 24934 25079 25224 25369 25514 25659 25804 25949 26094
## [36889] 26239 26384 26529 26674 26819 26964 27109 27254 27399 27544 27689 27834
## [36901] 27979 28124 28269 28414 28559 28704 28849 28994 29139 29284 29429 29574
## [36913] 29719 29864 30009 30154 30299 30444 30589 30734 30879 31024 31169 31314
## [36925] 31459 31604 31749 31894 32039 32184 32329 32474 32619 32764 32909 33054
## [36937] 33199 33344 33489 33634 33779 33924 34069 34214 34359 34504 34649 34794
## [36949] 34939 35084 35229 35374 35519 35664 35809 35954 36099 36244 36389 36534
## [36961] 36679 36824 36969 37114 37259 37404 37549 37694 37839 37984 38129 38274
## [36973] 38419 38564   140   285   430   575   720   865  1010  1155  1300  1445
## [36985]  1590  1735  1880  2025  2170  2315  2460  2605  2750  2895  3040  3185
## [36997]  3330  3475  3620  3765  3910  4055  4200  4345  4490  4635  4780  4925
## [37009]  5070  5215  5360  5505  5650  5795  5940  6085  6230  6375  6520  6665
## [37021]  6810  6955  7100  7245  7390  7535  7680  7825  7970  8115  8260  8405
## [37033]  8550  8695  8840  8985  9130  9275  9420  9565  9710  9855 10000 10145
## [37045] 10290 10435 10580 10725 10870 11015 11160 11305 11450 11595 11740 11885
## [37057] 12030 12175 12320 12465 12610 12755 12900 13045 13190 13335 13480 13625
## [37069] 13770 13915 14060 14205 14350 14495 14640 14785 14930 15075 15220 15365
## [37081] 15510 15655 15800 15945 16090 16235 16380 16525 16670 16815 16960 17105
## [37093] 17250 17395 17540 17685 17830 17975 18120 18265 18410 18555 18700 18845
## [37105] 18990 19135 19280 19425 19570 19715 19860 20005 20150 20295 20440 20585
## [37117] 20730 20875 21020 21165 21310 21455 21600 21745 21890 22035 22180 22325
## [37129] 22470 22615 22760 22905 23050 23195 23340 23485 23630 23775 23920 24065
## [37141] 24210 24355 24500 24645 24790 24935 25080 25225 25370 25515 25660 25805
## [37153] 25950 26095 26240 26385 26530 26675 26820 26965 27110 27255 27400 27545
## [37165] 27690 27835 27980 28125 28270 28415 28560 28705 28850 28995 29140 29285
## [37177] 29430 29575 29720 29865 30010 30155 30300 30445 30590 30735 30880 31025
## [37189] 31170 31315 31460 31605 31750 31895 32040 32185 32330 32475 32620 32765
## [37201] 32910 33055 33200 33345 33490 33635 33780 33925 34070 34215 34360 34505
## [37213] 34650 34795 34940 35085 35230 35375 35520 35665 35810 35955 36100 36245
## [37225] 36390 36535 36680 36825 36970 37115 37260 37405 37550 37695 37840 37985
## [37237] 38130 38275 38420 38565   141   286   431   576   721   866  1011  1156
## [37249]  1301  1446  1591  1736  1881  2026  2171  2316  2461  2606  2751  2896
## [37261]  3041  3186  3331  3476  3621  3766  3911  4056  4201  4346  4491  4636
## [37273]  4781  4926  5071  5216  5361  5506  5651  5796  5941  6086  6231  6376
## [37285]  6521  6666  6811  6956  7101  7246  7391  7536  7681  7826  7971  8116
## [37297]  8261  8406  8551  8696  8841  8986  9131  9276  9421  9566  9711  9856
## [37309] 10001 10146 10291 10436 10581 10726 10871 11016 11161 11306 11451 11596
## [37321] 11741 11886 12031 12176 12321 12466 12611 12756 12901 13046 13191 13336
## [37333] 13481 13626 13771 13916 14061 14206 14351 14496 14641 14786 14931 15076
## [37345] 15221 15366 15511 15656 15801 15946 16091 16236 16381 16526 16671 16816
## [37357] 16961 17106 17251 17396 17541 17686 17831 17976 18121 18266 18411 18556
## [37369] 18701 18846 18991 19136 19281 19426 19571 19716 19861 20006 20151 20296
## [37381] 20441 20586 20731 20876 21021 21166 21311 21456 21601 21746 21891 22036
## [37393] 22181 22326 22471 22616 22761 22906 23051 23196 23341 23486 23631 23776
## [37405] 23921 24066 24211 24356 24501 24646 24791 24936 25081 25226 25371 25516
## [37417] 25661 25806 25951 26096 26241 26386 26531 26676 26821 26966 27111 27256
## [37429] 27401 27546 27691 27836 27981 28126 28271 28416 28561 28706 28851 28996
## [37441] 29141 29286 29431 29576 29721 29866 30011 30156 30301 30446 30591 30736
## [37453] 30881 31026 31171 31316 31461 31606 31751 31896 32041 32186 32331 32476
## [37465] 32621 32766 32911 33056 33201 33346 33491 33636 33781 33926 34071 34216
## [37477] 34361 34506 34651 34796 34941 35086 35231 35376 35521 35666 35811 35956
## [37489] 36101 36246 36391 36536 36681 36826 36971 37116 37261 37406 37551 37696
## [37501] 37841 37986 38131 38276 38421 38566   142   287   432   577   722   867
## [37513]  1012  1157  1302  1447  1592  1737  1882  2027  2172  2317  2462  2607
## [37525]  2752  2897  3042  3187  3332  3477  3622  3767  3912  4057  4202  4347
## [37537]  4492  4637  4782  4927  5072  5217  5362  5507  5652  5797  5942  6087
## [37549]  6232  6377  6522  6667  6812  6957  7102  7247  7392  7537  7682  7827
## [37561]  7972  8117  8262  8407  8552  8697  8842  8987  9132  9277  9422  9567
## [37573]  9712  9857 10002 10147 10292 10437 10582 10727 10872 11017 11162 11307
## [37585] 11452 11597 11742 11887 12032 12177 12322 12467 12612 12757 12902 13047
## [37597] 13192 13337 13482 13627 13772 13917 14062 14207 14352 14497 14642 14787
## [37609] 14932 15077 15222 15367 15512 15657 15802 15947 16092 16237 16382 16527
## [37621] 16672 16817 16962 17107 17252 17397 17542 17687 17832 17977 18122 18267
## [37633] 18412 18557 18702 18847 18992 19137 19282 19427 19572 19717 19862 20007
## [37645] 20152 20297 20442 20587 20732 20877 21022 21167 21312 21457 21602 21747
## [37657] 21892 22037 22182 22327 22472 22617 22762 22907 23052 23197 23342 23487
## [37669] 23632 23777 23922 24067 24212 24357 24502 24647 24792 24937 25082 25227
## [37681] 25372 25517 25662 25807 25952 26097 26242 26387 26532 26677 26822 26967
## [37693] 27112 27257 27402 27547 27692 27837 27982 28127 28272 28417 28562 28707
## [37705] 28852 28997 29142 29287 29432 29577 29722 29867 30012 30157 30302 30447
## [37717] 30592 30737 30882 31027 31172 31317 31462 31607 31752 31897 32042 32187
## [37729] 32332 32477 32622 32767 32912 33057 33202 33347 33492 33637 33782 33927
## [37741] 34072 34217 34362 34507 34652 34797 34942 35087 35232 35377 35522 35667
## [37753] 35812 35957 36102 36247 36392 36537 36682 36827 36972 37117 37262 37407
## [37765] 37552 37697 37842 37987 38132 38277 38422 38567   143   288   433   578
## [37777]   723   868  1013  1158  1303  1448  1593  1738  1883  2028  2173  2318
## [37789]  2463  2608  2753  2898  3043  3188  3333  3478  3623  3768  3913  4058
## [37801]  4203  4348  4493  4638  4783  4928  5073  5218  5363  5508  5653  5798
## [37813]  5943  6088  6233  6378  6523  6668  6813  6958  7103  7248  7393  7538
## [37825]  7683  7828  7973  8118  8263  8408  8553  8698  8843  8988  9133  9278
## [37837]  9423  9568  9713  9858 10003 10148 10293 10438 10583 10728 10873 11018
## [37849] 11163 11308 11453 11598 11743 11888 12033 12178 12323 12468 12613 12758
## [37861] 12903 13048 13193 13338 13483 13628 13773 13918 14063 14208 14353 14498
## [37873] 14643 14788 14933 15078 15223 15368 15513 15658 15803 15948 16093 16238
## [37885] 16383 16528 16673 16818 16963 17108 17253 17398 17543 17688 17833 17978
## [37897] 18123 18268 18413 18558 18703 18848 18993 19138 19283 19428 19573 19718
## [37909] 19863 20008 20153 20298 20443 20588 20733 20878 21023 21168 21313 21458
## [37921] 21603 21748 21893 22038 22183 22328 22473 22618 22763 22908 23053 23198
## [37933] 23343 23488 23633 23778 23923 24068 24213 24358 24503 24648 24793 24938
## [37945] 25083 25228 25373 25518 25663 25808 25953 26098 26243 26388 26533 26678
## [37957] 26823 26968 27113 27258 27403 27548 27693 27838 27983 28128 28273 28418
## [37969] 28563 28708 28853 28998 29143 29288 29433 29578 29723 29868 30013 30158
## [37981] 30303 30448 30593 30738 30883 31028 31173 31318 31463 31608 31753 31898
## [37993] 32043 32188 32333 32478 32623 32768 32913 33058 33203 33348 33493 33638
## [38005] 33783 33928 34073 34218 34363 34508 34653 34798 34943 35088 35233 35378
## [38017] 35523 35668 35813 35958 36103 36248 36393 36538 36683 36828 36973 37118
## [38029] 37263 37408 37553 37698 37843 37988 38133 38278 38423 38568   144   289
## [38041]   434   579   724   869  1014  1159  1304  1449  1594  1739  1884  2029
## [38053]  2174  2319  2464  2609  2754  2899  3044  3189  3334  3479  3624  3769
## [38065]  3914  4059  4204  4349  4494  4639  4784  4929  5074  5219  5364  5509
## [38077]  5654  5799  5944  6089  6234  6379  6524  6669  6814  6959  7104  7249
## [38089]  7394  7539  7684  7829  7974  8119  8264  8409  8554  8699  8844  8989
## [38101]  9134  9279  9424  9569  9714  9859 10004 10149 10294 10439 10584 10729
## [38113] 10874 11019 11164 11309 11454 11599 11744 11889 12034 12179 12324 12469
## [38125] 12614 12759 12904 13049 13194 13339 13484 13629 13774 13919 14064 14209
## [38137] 14354 14499 14644 14789 14934 15079 15224 15369 15514 15659 15804 15949
## [38149] 16094 16239 16384 16529 16674 16819 16964 17109 17254 17399 17544 17689
## [38161] 17834 17979 18124 18269 18414 18559 18704 18849 18994 19139 19284 19429
## [38173] 19574 19719 19864 20009 20154 20299 20444 20589 20734 20879 21024 21169
## [38185] 21314 21459 21604 21749 21894 22039 22184 22329 22474 22619 22764 22909
## [38197] 23054 23199 23344 23489 23634 23779 23924 24069 24214 24359 24504 24649
## [38209] 24794 24939 25084 25229 25374 25519 25664 25809 25954 26099 26244 26389
## [38221] 26534 26679 26824 26969 27114 27259 27404 27549 27694 27839 27984 28129
## [38233] 28274 28419 28564 28709 28854 28999 29144 29289 29434 29579 29724 29869
## [38245] 30014 30159 30304 30449 30594 30739 30884 31029 31174 31319 31464 31609
## [38257] 31754 31899 32044 32189 32334 32479 32624 32769 32914 33059 33204 33349
## [38269] 33494 33639 33784 33929 34074 34219 34364 34509 34654 34799 34944 35089
## [38281] 35234 35379 35524 35669 35814 35959 36104 36249 36394 36539 36684 36829
## [38293] 36974 37119 37264 37409 37554 37699 37844 37989 38134 38279 38424 38569
## [38305]   145   290   435   580   725   870  1015  1160  1305  1450  1595  1740
## [38317]  1885  2030  2175  2320  2465  2610  2755  2900  3045  3190  3335  3480
## [38329]  3625  3770  3915  4060  4205  4350  4495  4640  4785  4930  5075  5220
## [38341]  5365  5510  5655  5800  5945  6090  6235  6380  6525  6670  6815  6960
## [38353]  7105  7250  7395  7540  7685  7830  7975  8120  8265  8410  8555  8700
## [38365]  8845  8990  9135  9280  9425  9570  9715  9860 10005 10150 10295 10440
## [38377] 10585 10730 10875 11020 11165 11310 11455 11600 11745 11890 12035 12180
## [38389] 12325 12470 12615 12760 12905 13050 13195 13340 13485 13630 13775 13920
## [38401] 14065 14210 14355 14500 14645 14790 14935 15080 15225 15370 15515 15660
## [38413] 15805 15950 16095 16240 16385 16530 16675 16820 16965 17110 17255 17400
## [38425] 17545 17690 17835 17980 18125 18270 18415 18560 18705 18850 18995 19140
## [38437] 19285 19430 19575 19720 19865 20010 20155 20300 20445 20590 20735 20880
## [38449] 21025 21170 21315 21460 21605 21750 21895 22040 22185 22330 22475 22620
## [38461] 22765 22910 23055 23200 23345 23490 23635 23780 23925 24070 24215 24360
## [38473] 24505 24650 24795 24940 25085 25230 25375 25520 25665 25810 25955 26100
## [38485] 26245 26390 26535 26680 26825 26970 27115 27260 27405 27550 27695 27840
## [38497] 27985 28130 28275 28420 28565 28710 28855 29000 29145 29290 29435 29580
## [38509] 29725 29870 30015 30160 30305 30450 30595 30740 30885 31030 31175 31320
## [38521] 31465 31610 31755 31900 32045 32190 32335 32480 32625 32770 32915 33060
## [38533] 33205 33350 33495 33640 33785 33930 34075 34220 34365 34510 34655 34800
## [38545] 34945 35090 35235 35380 35525 35670 35815 35960 36105 36250 36395 36540
## [38557] 36685 36830 36975 37120 37265 37410 37555 37700 37845 37990 38135 38280
## [38569] 38425 38570

# Now, I repeat these steps for the deceased data. 
Initial_Deceased_Wide <- read_csv("data/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv")

## Parsed with column specification:
## cols(
##   .default = col_double(),
##   `Province/State` = col_character(),
##   `Country/Region` = col_character()
## )

## See spec(...) for full column specifications.

# We continue with the reshape.
Deceased_Long <- pivot_longer(Initial_Deceased_Wide, cols = c(5:149), names_to = "Dates", values_to = "Deceased")
require(reshape)
Deceased_Long$COUNTRY <- Deceased_Long$`Country/Region`
Deceased_Long$Date <- mdy(Deceased_Long$Dates, quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"),
  truncated = 0)
order(Deceased_Long$Date)

##     [1]     1   146   291   436   581   726   871  1016  1161  1306  1451  1596
##    [13]  1741  1886  2031  2176  2321  2466  2611  2756  2901  3046  3191  3336
##    [25]  3481  3626  3771  3916  4061  4206  4351  4496  4641  4786  4931  5076
##    [37]  5221  5366  5511  5656  5801  5946  6091  6236  6381  6526  6671  6816
##    [49]  6961  7106  7251  7396  7541  7686  7831  7976  8121  8266  8411  8556
##    [61]  8701  8846  8991  9136  9281  9426  9571  9716  9861 10006 10151 10296
##    [73] 10441 10586 10731 10876 11021 11166 11311 11456 11601 11746 11891 12036
##    [85] 12181 12326 12471 12616 12761 12906 13051 13196 13341 13486 13631 13776
##    [97] 13921 14066 14211 14356 14501 14646 14791 14936 15081 15226 15371 15516
##   [109] 15661 15806 15951 16096 16241 16386 16531 16676 16821 16966 17111 17256
##   [121] 17401 17546 17691 17836 17981 18126 18271 18416 18561 18706 18851 18996
##   [133] 19141 19286 19431 19576 19721 19866 20011 20156 20301 20446 20591 20736
##   [145] 20881 21026 21171 21316 21461 21606 21751 21896 22041 22186 22331 22476
##   [157] 22621 22766 22911 23056 23201 23346 23491 23636 23781 23926 24071 24216
##   [169] 24361 24506 24651 24796 24941 25086 25231 25376 25521 25666 25811 25956
##   [181] 26101 26246 26391 26536 26681 26826 26971 27116 27261 27406 27551 27696
##   [193] 27841 27986 28131 28276 28421 28566 28711 28856 29001 29146 29291 29436
##   [205] 29581 29726 29871 30016 30161 30306 30451 30596 30741 30886 31031 31176
##   [217] 31321 31466 31611 31756 31901 32046 32191 32336 32481 32626 32771 32916
##   [229] 33061 33206 33351 33496 33641 33786 33931 34076 34221 34366 34511 34656
##   [241] 34801 34946 35091 35236 35381 35526 35671 35816 35961 36106 36251 36396
##   [253] 36541 36686 36831 36976 37121 37266 37411 37556 37701 37846 37991 38136
##   [265] 38281 38426     2   147   292   437   582   727   872  1017  1162  1307
##   [277]  1452  1597  1742  1887  2032  2177  2322  2467  2612  2757  2902  3047
##   [289]  3192  3337  3482  3627  3772  3917  4062  4207  4352  4497  4642  4787
##   [301]  4932  5077  5222  5367  5512  5657  5802  5947  6092  6237  6382  6527
##   [313]  6672  6817  6962  7107  7252  7397  7542  7687  7832  7977  8122  8267
##   [325]  8412  8557  8702  8847  8992  9137  9282  9427  9572  9717  9862 10007
##   [337] 10152 10297 10442 10587 10732 10877 11022 11167 11312 11457 11602 11747
##   [349] 11892 12037 12182 12327 12472 12617 12762 12907 13052 13197 13342 13487
##   [361] 13632 13777 13922 14067 14212 14357 14502 14647 14792 14937 15082 15227
##   [373] 15372 15517 15662 15807 15952 16097 16242 16387 16532 16677 16822 16967
##   [385] 17112 17257 17402 17547 17692 17837 17982 18127 18272 18417 18562 18707
##   [397] 18852 18997 19142 19287 19432 19577 19722 19867 20012 20157 20302 20447
##   [409] 20592 20737 20882 21027 21172 21317 21462 21607 21752 21897 22042 22187
##   [421] 22332 22477 22622 22767 22912 23057 23202 23347 23492 23637 23782 23927
##   [433] 24072 24217 24362 24507 24652 24797 24942 25087 25232 25377 25522 25667
##   [445] 25812 25957 26102 26247 26392 26537 26682 26827 26972 27117 27262 27407
##   [457] 27552 27697 27842 27987 28132 28277 28422 28567 28712 28857 29002 29147
##   [469] 29292 29437 29582 29727 29872 30017 30162 30307 30452 30597 30742 30887
##   [481] 31032 31177 31322 31467 31612 31757 31902 32047 32192 32337 32482 32627
##   [493] 32772 32917 33062 33207 33352 33497 33642 33787 33932 34077 34222 34367
##   [505] 34512 34657 34802 34947 35092 35237 35382 35527 35672 35817 35962 36107
##   [517] 36252 36397 36542 36687 36832 36977 37122 37267 37412 37557 37702 37847
##   [529] 37992 38137 38282 38427     3   148   293   438   583   728   873  1018
##   [541]  1163  1308  1453  1598  1743  1888  2033  2178  2323  2468  2613  2758
##   [553]  2903  3048  3193  3338  3483  3628  3773  3918  4063  4208  4353  4498
##   [565]  4643  4788  4933  5078  5223  5368  5513  5658  5803  5948  6093  6238
##   [577]  6383  6528  6673  6818  6963  7108  7253  7398  7543  7688  7833  7978
##   [589]  8123  8268  8413  8558  8703  8848  8993  9138  9283  9428  9573  9718
##   [601]  9863 10008 10153 10298 10443 10588 10733 10878 11023 11168 11313 11458
##   [613] 11603 11748 11893 12038 12183 12328 12473 12618 12763 12908 13053 13198
##   [625] 13343 13488 13633 13778 13923 14068 14213 14358 14503 14648 14793 14938
##   [637] 15083 15228 15373 15518 15663 15808 15953 16098 16243 16388 16533 16678
##   [649] 16823 16968 17113 17258 17403 17548 17693 17838 17983 18128 18273 18418
##   [661] 18563 18708 18853 18998 19143 19288 19433 19578 19723 19868 20013 20158
##   [673] 20303 20448 20593 20738 20883 21028 21173 21318 21463 21608 21753 21898
##   [685] 22043 22188 22333 22478 22623 22768 22913 23058 23203 23348 23493 23638
##   [697] 23783 23928 24073 24218 24363 24508 24653 24798 24943 25088 25233 25378
##   [709] 25523 25668 25813 25958 26103 26248 26393 26538 26683 26828 26973 27118
##   [721] 27263 27408 27553 27698 27843 27988 28133 28278 28423 28568 28713 28858
##   [733] 29003 29148 29293 29438 29583 29728 29873 30018 30163 30308 30453 30598
##   [745] 30743 30888 31033 31178 31323 31468 31613 31758 31903 32048 32193 32338
##   [757] 32483 32628 32773 32918 33063 33208 33353 33498 33643 33788 33933 34078
##   [769] 34223 34368 34513 34658 34803 34948 35093 35238 35383 35528 35673 35818
##   [781] 35963 36108 36253 36398 36543 36688 36833 36978 37123 37268 37413 37558
##   [793] 37703 37848 37993 38138 38283 38428     4   149   294   439   584   729
##   [805]   874  1019  1164  1309  1454  1599  1744  1889  2034  2179  2324  2469
##   [817]  2614  2759  2904  3049  3194  3339  3484  3629  3774  3919  4064  4209
##   [829]  4354  4499  4644  4789  4934  5079  5224  5369  5514  5659  5804  5949
##   [841]  6094  6239  6384  6529  6674  6819  6964  7109  7254  7399  7544  7689
##   [853]  7834  7979  8124  8269  8414  8559  8704  8849  8994  9139  9284  9429
##   [865]  9574  9719  9864 10009 10154 10299 10444 10589 10734 10879 11024 11169
##   [877] 11314 11459 11604 11749 11894 12039 12184 12329 12474 12619 12764 12909
##   [889] 13054 13199 13344 13489 13634 13779 13924 14069 14214 14359 14504 14649
##   [901] 14794 14939 15084 15229 15374 15519 15664 15809 15954 16099 16244 16389
##   [913] 16534 16679 16824 16969 17114 17259 17404 17549 17694 17839 17984 18129
##   [925] 18274 18419 18564 18709 18854 18999 19144 19289 19434 19579 19724 19869
##   [937] 20014 20159 20304 20449 20594 20739 20884 21029 21174 21319 21464 21609
##   [949] 21754 21899 22044 22189 22334 22479 22624 22769 22914 23059 23204 23349
##   [961] 23494 23639 23784 23929 24074 24219 24364 24509 24654 24799 24944 25089
##   [973] 25234 25379 25524 25669 25814 25959 26104 26249 26394 26539 26684 26829
##   [985] 26974 27119 27264 27409 27554 27699 27844 27989 28134 28279 28424 28569
##   [997] 28714 28859 29004 29149 29294 29439 29584 29729 29874 30019 30164 30309
##  [1009] 30454 30599 30744 30889 31034 31179 31324 31469 31614 31759 31904 32049
##  [1021] 32194 32339 32484 32629 32774 32919 33064 33209 33354 33499 33644 33789
##  [1033] 33934 34079 34224 34369 34514 34659 34804 34949 35094 35239 35384 35529
##  [1045] 35674 35819 35964 36109 36254 36399 36544 36689 36834 36979 37124 37269
##  [1057] 37414 37559 37704 37849 37994 38139 38284 38429     5   150   295   440
##  [1069]   585   730   875  1020  1165  1310  1455  1600  1745  1890  2035  2180
##  [1081]  2325  2470  2615  2760  2905  3050  3195  3340  3485  3630  3775  3920
##  [1093]  4065  4210  4355  4500  4645  4790  4935  5080  5225  5370  5515  5660
##  [1105]  5805  5950  6095  6240  6385  6530  6675  6820  6965  7110  7255  7400
##  [1117]  7545  7690  7835  7980  8125  8270  8415  8560  8705  8850  8995  9140
##  [1129]  9285  9430  9575  9720  9865 10010 10155 10300 10445 10590 10735 10880
##  [1141] 11025 11170 11315 11460 11605 11750 11895 12040 12185 12330 12475 12620
##  [1153] 12765 12910 13055 13200 13345 13490 13635 13780 13925 14070 14215 14360
##  [1165] 14505 14650 14795 14940 15085 15230 15375 15520 15665 15810 15955 16100
##  [1177] 16245 16390 16535 16680 16825 16970 17115 17260 17405 17550 17695 17840
##  [1189] 17985 18130 18275 18420 18565 18710 18855 19000 19145 19290 19435 19580
##  [1201] 19725 19870 20015 20160 20305 20450 20595 20740 20885 21030 21175 21320
##  [1213] 21465 21610 21755 21900 22045 22190 22335 22480 22625 22770 22915 23060
##  [1225] 23205 23350 23495 23640 23785 23930 24075 24220 24365 24510 24655 24800
##  [1237] 24945 25090 25235 25380 25525 25670 25815 25960 26105 26250 26395 26540
##  [1249] 26685 26830 26975 27120 27265 27410 27555 27700 27845 27990 28135 28280
##  [1261] 28425 28570 28715 28860 29005 29150 29295 29440 29585 29730 29875 30020
##  [1273] 30165 30310 30455 30600 30745 30890 31035 31180 31325 31470 31615 31760
##  [1285] 31905 32050 32195 32340 32485 32630 32775 32920 33065 33210 33355 33500
##  [1297] 33645 33790 33935 34080 34225 34370 34515 34660 34805 34950 35095 35240
##  [1309] 35385 35530 35675 35820 35965 36110 36255 36400 36545 36690 36835 36980
##  [1321] 37125 37270 37415 37560 37705 37850 37995 38140 38285 38430     6   151
##  [1333]   296   441   586   731   876  1021  1166  1311  1456  1601  1746  1891
##  [1345]  2036  2181  2326  2471  2616  2761  2906  3051  3196  3341  3486  3631
##  [1357]  3776  3921  4066  4211  4356  4501  4646  4791  4936  5081  5226  5371
##  [1369]  5516  5661  5806  5951  6096  6241  6386  6531  6676  6821  6966  7111
##  [1381]  7256  7401  7546  7691  7836  7981  8126  8271  8416  8561  8706  8851
##  [1393]  8996  9141  9286  9431  9576  9721  9866 10011 10156 10301 10446 10591
##  [1405] 10736 10881 11026 11171 11316 11461 11606 11751 11896 12041 12186 12331
##  [1417] 12476 12621 12766 12911 13056 13201 13346 13491 13636 13781 13926 14071
##  [1429] 14216 14361 14506 14651 14796 14941 15086 15231 15376 15521 15666 15811
##  [1441] 15956 16101 16246 16391 16536 16681 16826 16971 17116 17261 17406 17551
##  [1453] 17696 17841 17986 18131 18276 18421 18566 18711 18856 19001 19146 19291
##  [1465] 19436 19581 19726 19871 20016 20161 20306 20451 20596 20741 20886 21031
##  [1477] 21176 21321 21466 21611 21756 21901 22046 22191 22336 22481 22626 22771
##  [1489] 22916 23061 23206 23351 23496 23641 23786 23931 24076 24221 24366 24511
##  [1501] 24656 24801 24946 25091 25236 25381 25526 25671 25816 25961 26106 26251
##  [1513] 26396 26541 26686 26831 26976 27121 27266 27411 27556 27701 27846 27991
##  [1525] 28136 28281 28426 28571 28716 28861 29006 29151 29296 29441 29586 29731
##  [1537] 29876 30021 30166 30311 30456 30601 30746 30891 31036 31181 31326 31471
##  [1549] 31616 31761 31906 32051 32196 32341 32486 32631 32776 32921 33066 33211
##  [1561] 33356 33501 33646 33791 33936 34081 34226 34371 34516 34661 34806 34951
##  [1573] 35096 35241 35386 35531 35676 35821 35966 36111 36256 36401 36546 36691
##  [1585] 36836 36981 37126 37271 37416 37561 37706 37851 37996 38141 38286 38431
##  [1597]     7   152   297   442   587   732   877  1022  1167  1312  1457  1602
##  [1609]  1747  1892  2037  2182  2327  2472  2617  2762  2907  3052  3197  3342
##  [1621]  3487  3632  3777  3922  4067  4212  4357  4502  4647  4792  4937  5082
##  [1633]  5227  5372  5517  5662  5807  5952  6097  6242  6387  6532  6677  6822
##  [1645]  6967  7112  7257  7402  7547  7692  7837  7982  8127  8272  8417  8562
##  [1657]  8707  8852  8997  9142  9287  9432  9577  9722  9867 10012 10157 10302
##  [1669] 10447 10592 10737 10882 11027 11172 11317 11462 11607 11752 11897 12042
##  [1681] 12187 12332 12477 12622 12767 12912 13057 13202 13347 13492 13637 13782
##  [1693] 13927 14072 14217 14362 14507 14652 14797 14942 15087 15232 15377 15522
##  [1705] 15667 15812 15957 16102 16247 16392 16537 16682 16827 16972 17117 17262
##  [1717] 17407 17552 17697 17842 17987 18132 18277 18422 18567 18712 18857 19002
##  [1729] 19147 19292 19437 19582 19727 19872 20017 20162 20307 20452 20597 20742
##  [1741] 20887 21032 21177 21322 21467 21612 21757 21902 22047 22192 22337 22482
##  [1753] 22627 22772 22917 23062 23207 23352 23497 23642 23787 23932 24077 24222
##  [1765] 24367 24512 24657 24802 24947 25092 25237 25382 25527 25672 25817 25962
##  [1777] 26107 26252 26397 26542 26687 26832 26977 27122 27267 27412 27557 27702
##  [1789] 27847 27992 28137 28282 28427 28572 28717 28862 29007 29152 29297 29442
##  [1801] 29587 29732 29877 30022 30167 30312 30457 30602 30747 30892 31037 31182
##  [1813] 31327 31472 31617 31762 31907 32052 32197 32342 32487 32632 32777 32922
##  [1825] 33067 33212 33357 33502 33647 33792 33937 34082 34227 34372 34517 34662
##  [1837] 34807 34952 35097 35242 35387 35532 35677 35822 35967 36112 36257 36402
##  [1849] 36547 36692 36837 36982 37127 37272 37417 37562 37707 37852 37997 38142
##  [1861] 38287 38432     8   153   298   443   588   733   878  1023  1168  1313
##  [1873]  1458  1603  1748  1893  2038  2183  2328  2473  2618  2763  2908  3053
##  [1885]  3198  3343  3488  3633  3778  3923  4068  4213  4358  4503  4648  4793
##  [1897]  4938  5083  5228  5373  5518  5663  5808  5953  6098  6243  6388  6533
##  [1909]  6678  6823  6968  7113  7258  7403  7548  7693  7838  7983  8128  8273
##  [1921]  8418  8563  8708  8853  8998  9143  9288  9433  9578  9723  9868 10013
##  [1933] 10158 10303 10448 10593 10738 10883 11028 11173 11318 11463 11608 11753
##  [1945] 11898 12043 12188 12333 12478 12623 12768 12913 13058 13203 13348 13493
##  [1957] 13638 13783 13928 14073 14218 14363 14508 14653 14798 14943 15088 15233
##  [1969] 15378 15523 15668 15813 15958 16103 16248 16393 16538 16683 16828 16973
##  [1981] 17118 17263 17408 17553 17698 17843 17988 18133 18278 18423 18568 18713
##  [1993] 18858 19003 19148 19293 19438 19583 19728 19873 20018 20163 20308 20453
##  [2005] 20598 20743 20888 21033 21178 21323 21468 21613 21758 21903 22048 22193
##  [2017] 22338 22483 22628 22773 22918 23063 23208 23353 23498 23643 23788 23933
##  [2029] 24078 24223 24368 24513 24658 24803 24948 25093 25238 25383 25528 25673
##  [2041] 25818 25963 26108 26253 26398 26543 26688 26833 26978 27123 27268 27413
##  [2053] 27558 27703 27848 27993 28138 28283 28428 28573 28718 28863 29008 29153
##  [2065] 29298 29443 29588 29733 29878 30023 30168 30313 30458 30603 30748 30893
##  [2077] 31038 31183 31328 31473 31618 31763 31908 32053 32198 32343 32488 32633
##  [2089] 32778 32923 33068 33213 33358 33503 33648 33793 33938 34083 34228 34373
##  [2101] 34518 34663 34808 34953 35098 35243 35388 35533 35678 35823 35968 36113
##  [2113] 36258 36403 36548 36693 36838 36983 37128 37273 37418 37563 37708 37853
##  [2125] 37998 38143 38288 38433     9   154   299   444   589   734   879  1024
##  [2137]  1169  1314  1459  1604  1749  1894  2039  2184  2329  2474  2619  2764
##  [2149]  2909  3054  3199  3344  3489  3634  3779  3924  4069  4214  4359  4504
##  [2161]  4649  4794  4939  5084  5229  5374  5519  5664  5809  5954  6099  6244
##  [2173]  6389  6534  6679  6824  6969  7114  7259  7404  7549  7694  7839  7984
##  [2185]  8129  8274  8419  8564  8709  8854  8999  9144  9289  9434  9579  9724
##  [2197]  9869 10014 10159 10304 10449 10594 10739 10884 11029 11174 11319 11464
##  [2209] 11609 11754 11899 12044 12189 12334 12479 12624 12769 12914 13059 13204
##  [2221] 13349 13494 13639 13784 13929 14074 14219 14364 14509 14654 14799 14944
##  [2233] 15089 15234 15379 15524 15669 15814 15959 16104 16249 16394 16539 16684
##  [2245] 16829 16974 17119 17264 17409 17554 17699 17844 17989 18134 18279 18424
##  [2257] 18569 18714 18859 19004 19149 19294 19439 19584 19729 19874 20019 20164
##  [2269] 20309 20454 20599 20744 20889 21034 21179 21324 21469 21614 21759 21904
##  [2281] 22049 22194 22339 22484 22629 22774 22919 23064 23209 23354 23499 23644
##  [2293] 23789 23934 24079 24224 24369 24514 24659 24804 24949 25094 25239 25384
##  [2305] 25529 25674 25819 25964 26109 26254 26399 26544 26689 26834 26979 27124
##  [2317] 27269 27414 27559 27704 27849 27994 28139 28284 28429 28574 28719 28864
##  [2329] 29009 29154 29299 29444 29589 29734 29879 30024 30169 30314 30459 30604
##  [2341] 30749 30894 31039 31184 31329 31474 31619 31764 31909 32054 32199 32344
##  [2353] 32489 32634 32779 32924 33069 33214 33359 33504 33649 33794 33939 34084
##  [2365] 34229 34374 34519 34664 34809 34954 35099 35244 35389 35534 35679 35824
##  [2377] 35969 36114 36259 36404 36549 36694 36839 36984 37129 37274 37419 37564
##  [2389] 37709 37854 37999 38144 38289 38434    10   155   300   445   590   735
##  [2401]   880  1025  1170  1315  1460  1605  1750  1895  2040  2185  2330  2475
##  [2413]  2620  2765  2910  3055  3200  3345  3490  3635  3780  3925  4070  4215
##  [2425]  4360  4505  4650  4795  4940  5085  5230  5375  5520  5665  5810  5955
##  [2437]  6100  6245  6390  6535  6680  6825  6970  7115  7260  7405  7550  7695
##  [2449]  7840  7985  8130  8275  8420  8565  8710  8855  9000  9145  9290  9435
##  [2461]  9580  9725  9870 10015 10160 10305 10450 10595 10740 10885 11030 11175
##  [2473] 11320 11465 11610 11755 11900 12045 12190 12335 12480 12625 12770 12915
##  [2485] 13060 13205 13350 13495 13640 13785 13930 14075 14220 14365 14510 14655
##  [2497] 14800 14945 15090 15235 15380 15525 15670 15815 15960 16105 16250 16395
##  [2509] 16540 16685 16830 16975 17120 17265 17410 17555 17700 17845 17990 18135
##  [2521] 18280 18425 18570 18715 18860 19005 19150 19295 19440 19585 19730 19875
##  [2533] 20020 20165 20310 20455 20600 20745 20890 21035 21180 21325 21470 21615
##  [2545] 21760 21905 22050 22195 22340 22485 22630 22775 22920 23065 23210 23355
##  [2557] 23500 23645 23790 23935 24080 24225 24370 24515 24660 24805 24950 25095
##  [2569] 25240 25385 25530 25675 25820 25965 26110 26255 26400 26545 26690 26835
##  [2581] 26980 27125 27270 27415 27560 27705 27850 27995 28140 28285 28430 28575
##  [2593] 28720 28865 29010 29155 29300 29445 29590 29735 29880 30025 30170 30315
##  [2605] 30460 30605 30750 30895 31040 31185 31330 31475 31620 31765 31910 32055
##  [2617] 32200 32345 32490 32635 32780 32925 33070 33215 33360 33505 33650 33795
##  [2629] 33940 34085 34230 34375 34520 34665 34810 34955 35100 35245 35390 35535
##  [2641] 35680 35825 35970 36115 36260 36405 36550 36695 36840 36985 37130 37275
##  [2653] 37420 37565 37710 37855 38000 38145 38290 38435    11   156   301   446
##  [2665]   591   736   881  1026  1171  1316  1461  1606  1751  1896  2041  2186
##  [2677]  2331  2476  2621  2766  2911  3056  3201  3346  3491  3636  3781  3926
##  [2689]  4071  4216  4361  4506  4651  4796  4941  5086  5231  5376  5521  5666
##  [2701]  5811  5956  6101  6246  6391  6536  6681  6826  6971  7116  7261  7406
##  [2713]  7551  7696  7841  7986  8131  8276  8421  8566  8711  8856  9001  9146
##  [2725]  9291  9436  9581  9726  9871 10016 10161 10306 10451 10596 10741 10886
##  [2737] 11031 11176 11321 11466 11611 11756 11901 12046 12191 12336 12481 12626
##  [2749] 12771 12916 13061 13206 13351 13496 13641 13786 13931 14076 14221 14366
##  [2761] 14511 14656 14801 14946 15091 15236 15381 15526 15671 15816 15961 16106
##  [2773] 16251 16396 16541 16686 16831 16976 17121 17266 17411 17556 17701 17846
##  [2785] 17991 18136 18281 18426 18571 18716 18861 19006 19151 19296 19441 19586
##  [2797] 19731 19876 20021 20166 20311 20456 20601 20746 20891 21036 21181 21326
##  [2809] 21471 21616 21761 21906 22051 22196 22341 22486 22631 22776 22921 23066
##  [2821] 23211 23356 23501 23646 23791 23936 24081 24226 24371 24516 24661 24806
##  [2833] 24951 25096 25241 25386 25531 25676 25821 25966 26111 26256 26401 26546
##  [2845] 26691 26836 26981 27126 27271 27416 27561 27706 27851 27996 28141 28286
##  [2857] 28431 28576 28721 28866 29011 29156 29301 29446 29591 29736 29881 30026
##  [2869] 30171 30316 30461 30606 30751 30896 31041 31186 31331 31476 31621 31766
##  [2881] 31911 32056 32201 32346 32491 32636 32781 32926 33071 33216 33361 33506
##  [2893] 33651 33796 33941 34086 34231 34376 34521 34666 34811 34956 35101 35246
##  [2905] 35391 35536 35681 35826 35971 36116 36261 36406 36551 36696 36841 36986
##  [2917] 37131 37276 37421 37566 37711 37856 38001 38146 38291 38436    12   157
##  [2929]   302   447   592   737   882  1027  1172  1317  1462  1607  1752  1897
##  [2941]  2042  2187  2332  2477  2622  2767  2912  3057  3202  3347  3492  3637
##  [2953]  3782  3927  4072  4217  4362  4507  4652  4797  4942  5087  5232  5377
##  [2965]  5522  5667  5812  5957  6102  6247  6392  6537  6682  6827  6972  7117
##  [2977]  7262  7407  7552  7697  7842  7987  8132  8277  8422  8567  8712  8857
##  [2989]  9002  9147  9292  9437  9582  9727  9872 10017 10162 10307 10452 10597
##  [3001] 10742 10887 11032 11177 11322 11467 11612 11757 11902 12047 12192 12337
##  [3013] 12482 12627 12772 12917 13062 13207 13352 13497 13642 13787 13932 14077
##  [3025] 14222 14367 14512 14657 14802 14947 15092 15237 15382 15527 15672 15817
##  [3037] 15962 16107 16252 16397 16542 16687 16832 16977 17122 17267 17412 17557
##  [3049] 17702 17847 17992 18137 18282 18427 18572 18717 18862 19007 19152 19297
##  [3061] 19442 19587 19732 19877 20022 20167 20312 20457 20602 20747 20892 21037
##  [3073] 21182 21327 21472 21617 21762 21907 22052 22197 22342 22487 22632 22777
##  [3085] 22922 23067 23212 23357 23502 23647 23792 23937 24082 24227 24372 24517
##  [3097] 24662 24807 24952 25097 25242 25387 25532 25677 25822 25967 26112 26257
##  [3109] 26402 26547 26692 26837 26982 27127 27272 27417 27562 27707 27852 27997
##  [3121] 28142 28287 28432 28577 28722 28867 29012 29157 29302 29447 29592 29737
##  [3133] 29882 30027 30172 30317 30462 30607 30752 30897 31042 31187 31332 31477
##  [3145] 31622 31767 31912 32057 32202 32347 32492 32637 32782 32927 33072 33217
##  [3157] 33362 33507 33652 33797 33942 34087 34232 34377 34522 34667 34812 34957
##  [3169] 35102 35247 35392 35537 35682 35827 35972 36117 36262 36407 36552 36697
##  [3181] 36842 36987 37132 37277 37422 37567 37712 37857 38002 38147 38292 38437
##  [3193]    13   158   303   448   593   738   883  1028  1173  1318  1463  1608
##  [3205]  1753  1898  2043  2188  2333  2478  2623  2768  2913  3058  3203  3348
##  [3217]  3493  3638  3783  3928  4073  4218  4363  4508  4653  4798  4943  5088
##  [3229]  5233  5378  5523  5668  5813  5958  6103  6248  6393  6538  6683  6828
##  [3241]  6973  7118  7263  7408  7553  7698  7843  7988  8133  8278  8423  8568
##  [3253]  8713  8858  9003  9148  9293  9438  9583  9728  9873 10018 10163 10308
##  [3265] 10453 10598 10743 10888 11033 11178 11323 11468 11613 11758 11903 12048
##  [3277] 12193 12338 12483 12628 12773 12918 13063 13208 13353 13498 13643 13788
##  [3289] 13933 14078 14223 14368 14513 14658 14803 14948 15093 15238 15383 15528
##  [3301] 15673 15818 15963 16108 16253 16398 16543 16688 16833 16978 17123 17268
##  [3313] 17413 17558 17703 17848 17993 18138 18283 18428 18573 18718 18863 19008
##  [3325] 19153 19298 19443 19588 19733 19878 20023 20168 20313 20458 20603 20748
##  [3337] 20893 21038 21183 21328 21473 21618 21763 21908 22053 22198 22343 22488
##  [3349] 22633 22778 22923 23068 23213 23358 23503 23648 23793 23938 24083 24228
##  [3361] 24373 24518 24663 24808 24953 25098 25243 25388 25533 25678 25823 25968
##  [3373] 26113 26258 26403 26548 26693 26838 26983 27128 27273 27418 27563 27708
##  [3385] 27853 27998 28143 28288 28433 28578 28723 28868 29013 29158 29303 29448
##  [3397] 29593 29738 29883 30028 30173 30318 30463 30608 30753 30898 31043 31188
##  [3409] 31333 31478 31623 31768 31913 32058 32203 32348 32493 32638 32783 32928
##  [3421] 33073 33218 33363 33508 33653 33798 33943 34088 34233 34378 34523 34668
##  [3433] 34813 34958 35103 35248 35393 35538 35683 35828 35973 36118 36263 36408
##  [3445] 36553 36698 36843 36988 37133 37278 37423 37568 37713 37858 38003 38148
##  [3457] 38293 38438    14   159   304   449   594   739   884  1029  1174  1319
##  [3469]  1464  1609  1754  1899  2044  2189  2334  2479  2624  2769  2914  3059
##  [3481]  3204  3349  3494  3639  3784  3929  4074  4219  4364  4509  4654  4799
##  [3493]  4944  5089  5234  5379  5524  5669  5814  5959  6104  6249  6394  6539
##  [3505]  6684  6829  6974  7119  7264  7409  7554  7699  7844  7989  8134  8279
##  [3517]  8424  8569  8714  8859  9004  9149  9294  9439  9584  9729  9874 10019
##  [3529] 10164 10309 10454 10599 10744 10889 11034 11179 11324 11469 11614 11759
##  [3541] 11904 12049 12194 12339 12484 12629 12774 12919 13064 13209 13354 13499
##  [3553] 13644 13789 13934 14079 14224 14369 14514 14659 14804 14949 15094 15239
##  [3565] 15384 15529 15674 15819 15964 16109 16254 16399 16544 16689 16834 16979
##  [3577] 17124 17269 17414 17559 17704 17849 17994 18139 18284 18429 18574 18719
##  [3589] 18864 19009 19154 19299 19444 19589 19734 19879 20024 20169 20314 20459
##  [3601] 20604 20749 20894 21039 21184 21329 21474 21619 21764 21909 22054 22199
##  [3613] 22344 22489 22634 22779 22924 23069 23214 23359 23504 23649 23794 23939
##  [3625] 24084 24229 24374 24519 24664 24809 24954 25099 25244 25389 25534 25679
##  [3637] 25824 25969 26114 26259 26404 26549 26694 26839 26984 27129 27274 27419
##  [3649] 27564 27709 27854 27999 28144 28289 28434 28579 28724 28869 29014 29159
##  [3661] 29304 29449 29594 29739 29884 30029 30174 30319 30464 30609 30754 30899
##  [3673] 31044 31189 31334 31479 31624 31769 31914 32059 32204 32349 32494 32639
##  [3685] 32784 32929 33074 33219 33364 33509 33654 33799 33944 34089 34234 34379
##  [3697] 34524 34669 34814 34959 35104 35249 35394 35539 35684 35829 35974 36119
##  [3709] 36264 36409 36554 36699 36844 36989 37134 37279 37424 37569 37714 37859
##  [3721] 38004 38149 38294 38439    15   160   305   450   595   740   885  1030
##  [3733]  1175  1320  1465  1610  1755  1900  2045  2190  2335  2480  2625  2770
##  [3745]  2915  3060  3205  3350  3495  3640  3785  3930  4075  4220  4365  4510
##  [3757]  4655  4800  4945  5090  5235  5380  5525  5670  5815  5960  6105  6250
##  [3769]  6395  6540  6685  6830  6975  7120  7265  7410  7555  7700  7845  7990
##  [3781]  8135  8280  8425  8570  8715  8860  9005  9150  9295  9440  9585  9730
##  [3793]  9875 10020 10165 10310 10455 10600 10745 10890 11035 11180 11325 11470
##  [3805] 11615 11760 11905 12050 12195 12340 12485 12630 12775 12920 13065 13210
##  [3817] 13355 13500 13645 13790 13935 14080 14225 14370 14515 14660 14805 14950
##  [3829] 15095 15240 15385 15530 15675 15820 15965 16110 16255 16400 16545 16690
##  [3841] 16835 16980 17125 17270 17415 17560 17705 17850 17995 18140 18285 18430
##  [3853] 18575 18720 18865 19010 19155 19300 19445 19590 19735 19880 20025 20170
##  [3865] 20315 20460 20605 20750 20895 21040 21185 21330 21475 21620 21765 21910
##  [3877] 22055 22200 22345 22490 22635 22780 22925 23070 23215 23360 23505 23650
##  [3889] 23795 23940 24085 24230 24375 24520 24665 24810 24955 25100 25245 25390
##  [3901] 25535 25680 25825 25970 26115 26260 26405 26550 26695 26840 26985 27130
##  [3913] 27275 27420 27565 27710 27855 28000 28145 28290 28435 28580 28725 28870
##  [3925] 29015 29160 29305 29450 29595 29740 29885 30030 30175 30320 30465 30610
##  [3937] 30755 30900 31045 31190 31335 31480 31625 31770 31915 32060 32205 32350
##  [3949] 32495 32640 32785 32930 33075 33220 33365 33510 33655 33800 33945 34090
##  [3961] 34235 34380 34525 34670 34815 34960 35105 35250 35395 35540 35685 35830
##  [3973] 35975 36120 36265 36410 36555 36700 36845 36990 37135 37280 37425 37570
##  [3985] 37715 37860 38005 38150 38295 38440    16   161   306   451   596   741
##  [3997]   886  1031  1176  1321  1466  1611  1756  1901  2046  2191  2336  2481
##  [4009]  2626  2771  2916  3061  3206  3351  3496  3641  3786  3931  4076  4221
##  [4021]  4366  4511  4656  4801  4946  5091  5236  5381  5526  5671  5816  5961
##  [4033]  6106  6251  6396  6541  6686  6831  6976  7121  7266  7411  7556  7701
##  [4045]  7846  7991  8136  8281  8426  8571  8716  8861  9006  9151  9296  9441
##  [4057]  9586  9731  9876 10021 10166 10311 10456 10601 10746 10891 11036 11181
##  [4069] 11326 11471 11616 11761 11906 12051 12196 12341 12486 12631 12776 12921
##  [4081] 13066 13211 13356 13501 13646 13791 13936 14081 14226 14371 14516 14661
##  [4093] 14806 14951 15096 15241 15386 15531 15676 15821 15966 16111 16256 16401
##  [4105] 16546 16691 16836 16981 17126 17271 17416 17561 17706 17851 17996 18141
##  [4117] 18286 18431 18576 18721 18866 19011 19156 19301 19446 19591 19736 19881
##  [4129] 20026 20171 20316 20461 20606 20751 20896 21041 21186 21331 21476 21621
##  [4141] 21766 21911 22056 22201 22346 22491 22636 22781 22926 23071 23216 23361
##  [4153] 23506 23651 23796 23941 24086 24231 24376 24521 24666 24811 24956 25101
##  [4165] 25246 25391 25536 25681 25826 25971 26116 26261 26406 26551 26696 26841
##  [4177] 26986 27131 27276 27421 27566 27711 27856 28001 28146 28291 28436 28581
##  [4189] 28726 28871 29016 29161 29306 29451 29596 29741 29886 30031 30176 30321
##  [4201] 30466 30611 30756 30901 31046 31191 31336 31481 31626 31771 31916 32061
##  [4213] 32206 32351 32496 32641 32786 32931 33076 33221 33366 33511 33656 33801
##  [4225] 33946 34091 34236 34381 34526 34671 34816 34961 35106 35251 35396 35541
##  [4237] 35686 35831 35976 36121 36266 36411 36556 36701 36846 36991 37136 37281
##  [4249] 37426 37571 37716 37861 38006 38151 38296 38441    17   162   307   452
##  [4261]   597   742   887  1032  1177  1322  1467  1612  1757  1902  2047  2192
##  [4273]  2337  2482  2627  2772  2917  3062  3207  3352  3497  3642  3787  3932
##  [4285]  4077  4222  4367  4512  4657  4802  4947  5092  5237  5382  5527  5672
##  [4297]  5817  5962  6107  6252  6397  6542  6687  6832  6977  7122  7267  7412
##  [4309]  7557  7702  7847  7992  8137  8282  8427  8572  8717  8862  9007  9152
##  [4321]  9297  9442  9587  9732  9877 10022 10167 10312 10457 10602 10747 10892
##  [4333] 11037 11182 11327 11472 11617 11762 11907 12052 12197 12342 12487 12632
##  [4345] 12777 12922 13067 13212 13357 13502 13647 13792 13937 14082 14227 14372
##  [4357] 14517 14662 14807 14952 15097 15242 15387 15532 15677 15822 15967 16112
##  [4369] 16257 16402 16547 16692 16837 16982 17127 17272 17417 17562 17707 17852
##  [4381] 17997 18142 18287 18432 18577 18722 18867 19012 19157 19302 19447 19592
##  [4393] 19737 19882 20027 20172 20317 20462 20607 20752 20897 21042 21187 21332
##  [4405] 21477 21622 21767 21912 22057 22202 22347 22492 22637 22782 22927 23072
##  [4417] 23217 23362 23507 23652 23797 23942 24087 24232 24377 24522 24667 24812
##  [4429] 24957 25102 25247 25392 25537 25682 25827 25972 26117 26262 26407 26552
##  [4441] 26697 26842 26987 27132 27277 27422 27567 27712 27857 28002 28147 28292
##  [4453] 28437 28582 28727 28872 29017 29162 29307 29452 29597 29742 29887 30032
##  [4465] 30177 30322 30467 30612 30757 30902 31047 31192 31337 31482 31627 31772
##  [4477] 31917 32062 32207 32352 32497 32642 32787 32932 33077 33222 33367 33512
##  [4489] 33657 33802 33947 34092 34237 34382 34527 34672 34817 34962 35107 35252
##  [4501] 35397 35542 35687 35832 35977 36122 36267 36412 36557 36702 36847 36992
##  [4513] 37137 37282 37427 37572 37717 37862 38007 38152 38297 38442    18   163
##  [4525]   308   453   598   743   888  1033  1178  1323  1468  1613  1758  1903
##  [4537]  2048  2193  2338  2483  2628  2773  2918  3063  3208  3353  3498  3643
##  [4549]  3788  3933  4078  4223  4368  4513  4658  4803  4948  5093  5238  5383
##  [4561]  5528  5673  5818  5963  6108  6253  6398  6543  6688  6833  6978  7123
##  [4573]  7268  7413  7558  7703  7848  7993  8138  8283  8428  8573  8718  8863
##  [4585]  9008  9153  9298  9443  9588  9733  9878 10023 10168 10313 10458 10603
##  [4597] 10748 10893 11038 11183 11328 11473 11618 11763 11908 12053 12198 12343
##  [4609] 12488 12633 12778 12923 13068 13213 13358 13503 13648 13793 13938 14083
##  [4621] 14228 14373 14518 14663 14808 14953 15098 15243 15388 15533 15678 15823
##  [4633] 15968 16113 16258 16403 16548 16693 16838 16983 17128 17273 17418 17563
##  [4645] 17708 17853 17998 18143 18288 18433 18578 18723 18868 19013 19158 19303
##  [4657] 19448 19593 19738 19883 20028 20173 20318 20463 20608 20753 20898 21043
##  [4669] 21188 21333 21478 21623 21768 21913 22058 22203 22348 22493 22638 22783
##  [4681] 22928 23073 23218 23363 23508 23653 23798 23943 24088 24233 24378 24523
##  [4693] 24668 24813 24958 25103 25248 25393 25538 25683 25828 25973 26118 26263
##  [4705] 26408 26553 26698 26843 26988 27133 27278 27423 27568 27713 27858 28003
##  [4717] 28148 28293 28438 28583 28728 28873 29018 29163 29308 29453 29598 29743
##  [4729] 29888 30033 30178 30323 30468 30613 30758 30903 31048 31193 31338 31483
##  [4741] 31628 31773 31918 32063 32208 32353 32498 32643 32788 32933 33078 33223
##  [4753] 33368 33513 33658 33803 33948 34093 34238 34383 34528 34673 34818 34963
##  [4765] 35108 35253 35398 35543 35688 35833 35978 36123 36268 36413 36558 36703
##  [4777] 36848 36993 37138 37283 37428 37573 37718 37863 38008 38153 38298 38443
##  [4789]    19   164   309   454   599   744   889  1034  1179  1324  1469  1614
##  [4801]  1759  1904  2049  2194  2339  2484  2629  2774  2919  3064  3209  3354
##  [4813]  3499  3644  3789  3934  4079  4224  4369  4514  4659  4804  4949  5094
##  [4825]  5239  5384  5529  5674  5819  5964  6109  6254  6399  6544  6689  6834
##  [4837]  6979  7124  7269  7414  7559  7704  7849  7994  8139  8284  8429  8574
##  [4849]  8719  8864  9009  9154  9299  9444  9589  9734  9879 10024 10169 10314
##  [4861] 10459 10604 10749 10894 11039 11184 11329 11474 11619 11764 11909 12054
##  [4873] 12199 12344 12489 12634 12779 12924 13069 13214 13359 13504 13649 13794
##  [4885] 13939 14084 14229 14374 14519 14664 14809 14954 15099 15244 15389 15534
##  [4897] 15679 15824 15969 16114 16259 16404 16549 16694 16839 16984 17129 17274
##  [4909] 17419 17564 17709 17854 17999 18144 18289 18434 18579 18724 18869 19014
##  [4921] 19159 19304 19449 19594 19739 19884 20029 20174 20319 20464 20609 20754
##  [4933] 20899 21044 21189 21334 21479 21624 21769 21914 22059 22204 22349 22494
##  [4945] 22639 22784 22929 23074 23219 23364 23509 23654 23799 23944 24089 24234
##  [4957] 24379 24524 24669 24814 24959 25104 25249 25394 25539 25684 25829 25974
##  [4969] 26119 26264 26409 26554 26699 26844 26989 27134 27279 27424 27569 27714
##  [4981] 27859 28004 28149 28294 28439 28584 28729 28874 29019 29164 29309 29454
##  [4993] 29599 29744 29889 30034 30179 30324 30469 30614 30759 30904 31049 31194
##  [5005] 31339 31484 31629 31774 31919 32064 32209 32354 32499 32644 32789 32934
##  [5017] 33079 33224 33369 33514 33659 33804 33949 34094 34239 34384 34529 34674
##  [5029] 34819 34964 35109 35254 35399 35544 35689 35834 35979 36124 36269 36414
##  [5041] 36559 36704 36849 36994 37139 37284 37429 37574 37719 37864 38009 38154
##  [5053] 38299 38444    20   165   310   455   600   745   890  1035  1180  1325
##  [5065]  1470  1615  1760  1905  2050  2195  2340  2485  2630  2775  2920  3065
##  [5077]  3210  3355  3500  3645  3790  3935  4080  4225  4370  4515  4660  4805
##  [5089]  4950  5095  5240  5385  5530  5675  5820  5965  6110  6255  6400  6545
##  [5101]  6690  6835  6980  7125  7270  7415  7560  7705  7850  7995  8140  8285
##  [5113]  8430  8575  8720  8865  9010  9155  9300  9445  9590  9735  9880 10025
##  [5125] 10170 10315 10460 10605 10750 10895 11040 11185 11330 11475 11620 11765
##  [5137] 11910 12055 12200 12345 12490 12635 12780 12925 13070 13215 13360 13505
##  [5149] 13650 13795 13940 14085 14230 14375 14520 14665 14810 14955 15100 15245
##  [5161] 15390 15535 15680 15825 15970 16115 16260 16405 16550 16695 16840 16985
##  [5173] 17130 17275 17420 17565 17710 17855 18000 18145 18290 18435 18580 18725
##  [5185] 18870 19015 19160 19305 19450 19595 19740 19885 20030 20175 20320 20465
##  [5197] 20610 20755 20900 21045 21190 21335 21480 21625 21770 21915 22060 22205
##  [5209] 22350 22495 22640 22785 22930 23075 23220 23365 23510 23655 23800 23945
##  [5221] 24090 24235 24380 24525 24670 24815 24960 25105 25250 25395 25540 25685
##  [5233] 25830 25975 26120 26265 26410 26555 26700 26845 26990 27135 27280 27425
##  [5245] 27570 27715 27860 28005 28150 28295 28440 28585 28730 28875 29020 29165
##  [5257] 29310 29455 29600 29745 29890 30035 30180 30325 30470 30615 30760 30905
##  [5269] 31050 31195 31340 31485 31630 31775 31920 32065 32210 32355 32500 32645
##  [5281] 32790 32935 33080 33225 33370 33515 33660 33805 33950 34095 34240 34385
##  [5293] 34530 34675 34820 34965 35110 35255 35400 35545 35690 35835 35980 36125
##  [5305] 36270 36415 36560 36705 36850 36995 37140 37285 37430 37575 37720 37865
##  [5317] 38010 38155 38300 38445    21   166   311   456   601   746   891  1036
##  [5329]  1181  1326  1471  1616  1761  1906  2051  2196  2341  2486  2631  2776
##  [5341]  2921  3066  3211  3356  3501  3646  3791  3936  4081  4226  4371  4516
##  [5353]  4661  4806  4951  5096  5241  5386  5531  5676  5821  5966  6111  6256
##  [5365]  6401  6546  6691  6836  6981  7126  7271  7416  7561  7706  7851  7996
##  [5377]  8141  8286  8431  8576  8721  8866  9011  9156  9301  9446  9591  9736
##  [5389]  9881 10026 10171 10316 10461 10606 10751 10896 11041 11186 11331 11476
##  [5401] 11621 11766 11911 12056 12201 12346 12491 12636 12781 12926 13071 13216
##  [5413] 13361 13506 13651 13796 13941 14086 14231 14376 14521 14666 14811 14956
##  [5425] 15101 15246 15391 15536 15681 15826 15971 16116 16261 16406 16551 16696
##  [5437] 16841 16986 17131 17276 17421 17566 17711 17856 18001 18146 18291 18436
##  [5449] 18581 18726 18871 19016 19161 19306 19451 19596 19741 19886 20031 20176
##  [5461] 20321 20466 20611 20756 20901 21046 21191 21336 21481 21626 21771 21916
##  [5473] 22061 22206 22351 22496 22641 22786 22931 23076 23221 23366 23511 23656
##  [5485] 23801 23946 24091 24236 24381 24526 24671 24816 24961 25106 25251 25396
##  [5497] 25541 25686 25831 25976 26121 26266 26411 26556 26701 26846 26991 27136
##  [5509] 27281 27426 27571 27716 27861 28006 28151 28296 28441 28586 28731 28876
##  [5521] 29021 29166 29311 29456 29601 29746 29891 30036 30181 30326 30471 30616
##  [5533] 30761 30906 31051 31196 31341 31486 31631 31776 31921 32066 32211 32356
##  [5545] 32501 32646 32791 32936 33081 33226 33371 33516 33661 33806 33951 34096
##  [5557] 34241 34386 34531 34676 34821 34966 35111 35256 35401 35546 35691 35836
##  [5569] 35981 36126 36271 36416 36561 36706 36851 36996 37141 37286 37431 37576
##  [5581] 37721 37866 38011 38156 38301 38446    22   167   312   457   602   747
##  [5593]   892  1037  1182  1327  1472  1617  1762  1907  2052  2197  2342  2487
##  [5605]  2632  2777  2922  3067  3212  3357  3502  3647  3792  3937  4082  4227
##  [5617]  4372  4517  4662  4807  4952  5097  5242  5387  5532  5677  5822  5967
##  [5629]  6112  6257  6402  6547  6692  6837  6982  7127  7272  7417  7562  7707
##  [5641]  7852  7997  8142  8287  8432  8577  8722  8867  9012  9157  9302  9447
##  [5653]  9592  9737  9882 10027 10172 10317 10462 10607 10752 10897 11042 11187
##  [5665] 11332 11477 11622 11767 11912 12057 12202 12347 12492 12637 12782 12927
##  [5677] 13072 13217 13362 13507 13652 13797 13942 14087 14232 14377 14522 14667
##  [5689] 14812 14957 15102 15247 15392 15537 15682 15827 15972 16117 16262 16407
##  [5701] 16552 16697 16842 16987 17132 17277 17422 17567 17712 17857 18002 18147
##  [5713] 18292 18437 18582 18727 18872 19017 19162 19307 19452 19597 19742 19887
##  [5725] 20032 20177 20322 20467 20612 20757 20902 21047 21192 21337 21482 21627
##  [5737] 21772 21917 22062 22207 22352 22497 22642 22787 22932 23077 23222 23367
##  [5749] 23512 23657 23802 23947 24092 24237 24382 24527 24672 24817 24962 25107
##  [5761] 25252 25397 25542 25687 25832 25977 26122 26267 26412 26557 26702 26847
##  [5773] 26992 27137 27282 27427 27572 27717 27862 28007 28152 28297 28442 28587
##  [5785] 28732 28877 29022 29167 29312 29457 29602 29747 29892 30037 30182 30327
##  [5797] 30472 30617 30762 30907 31052 31197 31342 31487 31632 31777 31922 32067
##  [5809] 32212 32357 32502 32647 32792 32937 33082 33227 33372 33517 33662 33807
##  [5821] 33952 34097 34242 34387 34532 34677 34822 34967 35112 35257 35402 35547
##  [5833] 35692 35837 35982 36127 36272 36417 36562 36707 36852 36997 37142 37287
##  [5845] 37432 37577 37722 37867 38012 38157 38302 38447    23   168   313   458
##  [5857]   603   748   893  1038  1183  1328  1473  1618  1763  1908  2053  2198
##  [5869]  2343  2488  2633  2778  2923  3068  3213  3358  3503  3648  3793  3938
##  [5881]  4083  4228  4373  4518  4663  4808  4953  5098  5243  5388  5533  5678
##  [5893]  5823  5968  6113  6258  6403  6548  6693  6838  6983  7128  7273  7418
##  [5905]  7563  7708  7853  7998  8143  8288  8433  8578  8723  8868  9013  9158
##  [5917]  9303  9448  9593  9738  9883 10028 10173 10318 10463 10608 10753 10898
##  [5929] 11043 11188 11333 11478 11623 11768 11913 12058 12203 12348 12493 12638
##  [5941] 12783 12928 13073 13218 13363 13508 13653 13798 13943 14088 14233 14378
##  [5953] 14523 14668 14813 14958 15103 15248 15393 15538 15683 15828 15973 16118
##  [5965] 16263 16408 16553 16698 16843 16988 17133 17278 17423 17568 17713 17858
##  [5977] 18003 18148 18293 18438 18583 18728 18873 19018 19163 19308 19453 19598
##  [5989] 19743 19888 20033 20178 20323 20468 20613 20758 20903 21048 21193 21338
##  [6001] 21483 21628 21773 21918 22063 22208 22353 22498 22643 22788 22933 23078
##  [6013] 23223 23368 23513 23658 23803 23948 24093 24238 24383 24528 24673 24818
##  [6025] 24963 25108 25253 25398 25543 25688 25833 25978 26123 26268 26413 26558
##  [6037] 26703 26848 26993 27138 27283 27428 27573 27718 27863 28008 28153 28298
##  [6049] 28443 28588 28733 28878 29023 29168 29313 29458 29603 29748 29893 30038
##  [6061] 30183 30328 30473 30618 30763 30908 31053 31198 31343 31488 31633 31778
##  [6073] 31923 32068 32213 32358 32503 32648 32793 32938 33083 33228 33373 33518
##  [6085] 33663 33808 33953 34098 34243 34388 34533 34678 34823 34968 35113 35258
##  [6097] 35403 35548 35693 35838 35983 36128 36273 36418 36563 36708 36853 36998
##  [6109] 37143 37288 37433 37578 37723 37868 38013 38158 38303 38448    24   169
##  [6121]   314   459   604   749   894  1039  1184  1329  1474  1619  1764  1909
##  [6133]  2054  2199  2344  2489  2634  2779  2924  3069  3214  3359  3504  3649
##  [6145]  3794  3939  4084  4229  4374  4519  4664  4809  4954  5099  5244  5389
##  [6157]  5534  5679  5824  5969  6114  6259  6404  6549  6694  6839  6984  7129
##  [6169]  7274  7419  7564  7709  7854  7999  8144  8289  8434  8579  8724  8869
##  [6181]  9014  9159  9304  9449  9594  9739  9884 10029 10174 10319 10464 10609
##  [6193] 10754 10899 11044 11189 11334 11479 11624 11769 11914 12059 12204 12349
##  [6205] 12494 12639 12784 12929 13074 13219 13364 13509 13654 13799 13944 14089
##  [6217] 14234 14379 14524 14669 14814 14959 15104 15249 15394 15539 15684 15829
##  [6229] 15974 16119 16264 16409 16554 16699 16844 16989 17134 17279 17424 17569
##  [6241] 17714 17859 18004 18149 18294 18439 18584 18729 18874 19019 19164 19309
##  [6253] 19454 19599 19744 19889 20034 20179 20324 20469 20614 20759 20904 21049
##  [6265] 21194 21339 21484 21629 21774 21919 22064 22209 22354 22499 22644 22789
##  [6277] 22934 23079 23224 23369 23514 23659 23804 23949 24094 24239 24384 24529
##  [6289] 24674 24819 24964 25109 25254 25399 25544 25689 25834 25979 26124 26269
##  [6301] 26414 26559 26704 26849 26994 27139 27284 27429 27574 27719 27864 28009
##  [6313] 28154 28299 28444 28589 28734 28879 29024 29169 29314 29459 29604 29749
##  [6325] 29894 30039 30184 30329 30474 30619 30764 30909 31054 31199 31344 31489
##  [6337] 31634 31779 31924 32069 32214 32359 32504 32649 32794 32939 33084 33229
##  [6349] 33374 33519 33664 33809 33954 34099 34244 34389 34534 34679 34824 34969
##  [6361] 35114 35259 35404 35549 35694 35839 35984 36129 36274 36419 36564 36709
##  [6373] 36854 36999 37144 37289 37434 37579 37724 37869 38014 38159 38304 38449
##  [6385]    25   170   315   460   605   750   895  1040  1185  1330  1475  1620
##  [6397]  1765  1910  2055  2200  2345  2490  2635  2780  2925  3070  3215  3360
##  [6409]  3505  3650  3795  3940  4085  4230  4375  4520  4665  4810  4955  5100
##  [6421]  5245  5390  5535  5680  5825  5970  6115  6260  6405  6550  6695  6840
##  [6433]  6985  7130  7275  7420  7565  7710  7855  8000  8145  8290  8435  8580
##  [6445]  8725  8870  9015  9160  9305  9450  9595  9740  9885 10030 10175 10320
##  [6457] 10465 10610 10755 10900 11045 11190 11335 11480 11625 11770 11915 12060
##  [6469] 12205 12350 12495 12640 12785 12930 13075 13220 13365 13510 13655 13800
##  [6481] 13945 14090 14235 14380 14525 14670 14815 14960 15105 15250 15395 15540
##  [6493] 15685 15830 15975 16120 16265 16410 16555 16700 16845 16990 17135 17280
##  [6505] 17425 17570 17715 17860 18005 18150 18295 18440 18585 18730 18875 19020
##  [6517] 19165 19310 19455 19600 19745 19890 20035 20180 20325 20470 20615 20760
##  [6529] 20905 21050 21195 21340 21485 21630 21775 21920 22065 22210 22355 22500
##  [6541] 22645 22790 22935 23080 23225 23370 23515 23660 23805 23950 24095 24240
##  [6553] 24385 24530 24675 24820 24965 25110 25255 25400 25545 25690 25835 25980
##  [6565] 26125 26270 26415 26560 26705 26850 26995 27140 27285 27430 27575 27720
##  [6577] 27865 28010 28155 28300 28445 28590 28735 28880 29025 29170 29315 29460
##  [6589] 29605 29750 29895 30040 30185 30330 30475 30620 30765 30910 31055 31200
##  [6601] 31345 31490 31635 31780 31925 32070 32215 32360 32505 32650 32795 32940
##  [6613] 33085 33230 33375 33520 33665 33810 33955 34100 34245 34390 34535 34680
##  [6625] 34825 34970 35115 35260 35405 35550 35695 35840 35985 36130 36275 36420
##  [6637] 36565 36710 36855 37000 37145 37290 37435 37580 37725 37870 38015 38160
##  [6649] 38305 38450    26   171   316   461   606   751   896  1041  1186  1331
##  [6661]  1476  1621  1766  1911  2056  2201  2346  2491  2636  2781  2926  3071
##  [6673]  3216  3361  3506  3651  3796  3941  4086  4231  4376  4521  4666  4811
##  [6685]  4956  5101  5246  5391  5536  5681  5826  5971  6116  6261  6406  6551
##  [6697]  6696  6841  6986  7131  7276  7421  7566  7711  7856  8001  8146  8291
##  [6709]  8436  8581  8726  8871  9016  9161  9306  9451  9596  9741  9886 10031
##  [6721] 10176 10321 10466 10611 10756 10901 11046 11191 11336 11481 11626 11771
##  [6733] 11916 12061 12206 12351 12496 12641 12786 12931 13076 13221 13366 13511
##  [6745] 13656 13801 13946 14091 14236 14381 14526 14671 14816 14961 15106 15251
##  [6757] 15396 15541 15686 15831 15976 16121 16266 16411 16556 16701 16846 16991
##  [6769] 17136 17281 17426 17571 17716 17861 18006 18151 18296 18441 18586 18731
##  [6781] 18876 19021 19166 19311 19456 19601 19746 19891 20036 20181 20326 20471
##  [6793] 20616 20761 20906 21051 21196 21341 21486 21631 21776 21921 22066 22211
##  [6805] 22356 22501 22646 22791 22936 23081 23226 23371 23516 23661 23806 23951
##  [6817] 24096 24241 24386 24531 24676 24821 24966 25111 25256 25401 25546 25691
##  [6829] 25836 25981 26126 26271 26416 26561 26706 26851 26996 27141 27286 27431
##  [6841] 27576 27721 27866 28011 28156 28301 28446 28591 28736 28881 29026 29171
##  [6853] 29316 29461 29606 29751 29896 30041 30186 30331 30476 30621 30766 30911
##  [6865] 31056 31201 31346 31491 31636 31781 31926 32071 32216 32361 32506 32651
##  [6877] 32796 32941 33086 33231 33376 33521 33666 33811 33956 34101 34246 34391
##  [6889] 34536 34681 34826 34971 35116 35261 35406 35551 35696 35841 35986 36131
##  [6901] 36276 36421 36566 36711 36856 37001 37146 37291 37436 37581 37726 37871
##  [6913] 38016 38161 38306 38451    27   172   317   462   607   752   897  1042
##  [6925]  1187  1332  1477  1622  1767  1912  2057  2202  2347  2492  2637  2782
##  [6937]  2927  3072  3217  3362  3507  3652  3797  3942  4087  4232  4377  4522
##  [6949]  4667  4812  4957  5102  5247  5392  5537  5682  5827  5972  6117  6262
##  [6961]  6407  6552  6697  6842  6987  7132  7277  7422  7567  7712  7857  8002
##  [6973]  8147  8292  8437  8582  8727  8872  9017  9162  9307  9452  9597  9742
##  [6985]  9887 10032 10177 10322 10467 10612 10757 10902 11047 11192 11337 11482
##  [6997] 11627 11772 11917 12062 12207 12352 12497 12642 12787 12932 13077 13222
##  [7009] 13367 13512 13657 13802 13947 14092 14237 14382 14527 14672 14817 14962
##  [7021] 15107 15252 15397 15542 15687 15832 15977 16122 16267 16412 16557 16702
##  [7033] 16847 16992 17137 17282 17427 17572 17717 17862 18007 18152 18297 18442
##  [7045] 18587 18732 18877 19022 19167 19312 19457 19602 19747 19892 20037 20182
##  [7057] 20327 20472 20617 20762 20907 21052 21197 21342 21487 21632 21777 21922
##  [7069] 22067 22212 22357 22502 22647 22792 22937 23082 23227 23372 23517 23662
##  [7081] 23807 23952 24097 24242 24387 24532 24677 24822 24967 25112 25257 25402
##  [7093] 25547 25692 25837 25982 26127 26272 26417 26562 26707 26852 26997 27142
##  [7105] 27287 27432 27577 27722 27867 28012 28157 28302 28447 28592 28737 28882
##  [7117] 29027 29172 29317 29462 29607 29752 29897 30042 30187 30332 30477 30622
##  [7129] 30767 30912 31057 31202 31347 31492 31637 31782 31927 32072 32217 32362
##  [7141] 32507 32652 32797 32942 33087 33232 33377 33522 33667 33812 33957 34102
##  [7153] 34247 34392 34537 34682 34827 34972 35117 35262 35407 35552 35697 35842
##  [7165] 35987 36132 36277 36422 36567 36712 36857 37002 37147 37292 37437 37582
##  [7177] 37727 37872 38017 38162 38307 38452    28   173   318   463   608   753
##  [7189]   898  1043  1188  1333  1478  1623  1768  1913  2058  2203  2348  2493
##  [7201]  2638  2783  2928  3073  3218  3363  3508  3653  3798  3943  4088  4233
##  [7213]  4378  4523  4668  4813  4958  5103  5248  5393  5538  5683  5828  5973
##  [7225]  6118  6263  6408  6553  6698  6843  6988  7133  7278  7423  7568  7713
##  [7237]  7858  8003  8148  8293  8438  8583  8728  8873  9018  9163  9308  9453
##  [7249]  9598  9743  9888 10033 10178 10323 10468 10613 10758 10903 11048 11193
##  [7261] 11338 11483 11628 11773 11918 12063 12208 12353 12498 12643 12788 12933
##  [7273] 13078 13223 13368 13513 13658 13803 13948 14093 14238 14383 14528 14673
##  [7285] 14818 14963 15108 15253 15398 15543 15688 15833 15978 16123 16268 16413
##  [7297] 16558 16703 16848 16993 17138 17283 17428 17573 17718 17863 18008 18153
##  [7309] 18298 18443 18588 18733 18878 19023 19168 19313 19458 19603 19748 19893
##  [7321] 20038 20183 20328 20473 20618 20763 20908 21053 21198 21343 21488 21633
##  [7333] 21778 21923 22068 22213 22358 22503 22648 22793 22938 23083 23228 23373
##  [7345] 23518 23663 23808 23953 24098 24243 24388 24533 24678 24823 24968 25113
##  [7357] 25258 25403 25548 25693 25838 25983 26128 26273 26418 26563 26708 26853
##  [7369] 26998 27143 27288 27433 27578 27723 27868 28013 28158 28303 28448 28593
##  [7381] 28738 28883 29028 29173 29318 29463 29608 29753 29898 30043 30188 30333
##  [7393] 30478 30623 30768 30913 31058 31203 31348 31493 31638 31783 31928 32073
##  [7405] 32218 32363 32508 32653 32798 32943 33088 33233 33378 33523 33668 33813
##  [7417] 33958 34103 34248 34393 34538 34683 34828 34973 35118 35263 35408 35553
##  [7429] 35698 35843 35988 36133 36278 36423 36568 36713 36858 37003 37148 37293
##  [7441] 37438 37583 37728 37873 38018 38163 38308 38453    29   174   319   464
##  [7453]   609   754   899  1044  1189  1334  1479  1624  1769  1914  2059  2204
##  [7465]  2349  2494  2639  2784  2929  3074  3219  3364  3509  3654  3799  3944
##  [7477]  4089  4234  4379  4524  4669  4814  4959  5104  5249  5394  5539  5684
##  [7489]  5829  5974  6119  6264  6409  6554  6699  6844  6989  7134  7279  7424
##  [7501]  7569  7714  7859  8004  8149  8294  8439  8584  8729  8874  9019  9164
##  [7513]  9309  9454  9599  9744  9889 10034 10179 10324 10469 10614 10759 10904
##  [7525] 11049 11194 11339 11484 11629 11774 11919 12064 12209 12354 12499 12644
##  [7537] 12789 12934 13079 13224 13369 13514 13659 13804 13949 14094 14239 14384
##  [7549] 14529 14674 14819 14964 15109 15254 15399 15544 15689 15834 15979 16124
##  [7561] 16269 16414 16559 16704 16849 16994 17139 17284 17429 17574 17719 17864
##  [7573] 18009 18154 18299 18444 18589 18734 18879 19024 19169 19314 19459 19604
##  [7585] 19749 19894 20039 20184 20329 20474 20619 20764 20909 21054 21199 21344
##  [7597] 21489 21634 21779 21924 22069 22214 22359 22504 22649 22794 22939 23084
##  [7609] 23229 23374 23519 23664 23809 23954 24099 24244 24389 24534 24679 24824
##  [7621] 24969 25114 25259 25404 25549 25694 25839 25984 26129 26274 26419 26564
##  [7633] 26709 26854 26999 27144 27289 27434 27579 27724 27869 28014 28159 28304
##  [7645] 28449 28594 28739 28884 29029 29174 29319 29464 29609 29754 29899 30044
##  [7657] 30189 30334 30479 30624 30769 30914 31059 31204 31349 31494 31639 31784
##  [7669] 31929 32074 32219 32364 32509 32654 32799 32944 33089 33234 33379 33524
##  [7681] 33669 33814 33959 34104 34249 34394 34539 34684 34829 34974 35119 35264
##  [7693] 35409 35554 35699 35844 35989 36134 36279 36424 36569 36714 36859 37004
##  [7705] 37149 37294 37439 37584 37729 37874 38019 38164 38309 38454    30   175
##  [7717]   320   465   610   755   900  1045  1190  1335  1480  1625  1770  1915
##  [7729]  2060  2205  2350  2495  2640  2785  2930  3075  3220  3365  3510  3655
##  [7741]  3800  3945  4090  4235  4380  4525  4670  4815  4960  5105  5250  5395
##  [7753]  5540  5685  5830  5975  6120  6265  6410  6555  6700  6845  6990  7135
##  [7765]  7280  7425  7570  7715  7860  8005  8150  8295  8440  8585  8730  8875
##  [7777]  9020  9165  9310  9455  9600  9745  9890 10035 10180 10325 10470 10615
##  [7789] 10760 10905 11050 11195 11340 11485 11630 11775 11920 12065 12210 12355
##  [7801] 12500 12645 12790 12935 13080 13225 13370 13515 13660 13805 13950 14095
##  [7813] 14240 14385 14530 14675 14820 14965 15110 15255 15400 15545 15690 15835
##  [7825] 15980 16125 16270 16415 16560 16705 16850 16995 17140 17285 17430 17575
##  [7837] 17720 17865 18010 18155 18300 18445 18590 18735 18880 19025 19170 19315
##  [7849] 19460 19605 19750 19895 20040 20185 20330 20475 20620 20765 20910 21055
##  [7861] 21200 21345 21490 21635 21780 21925 22070 22215 22360 22505 22650 22795
##  [7873] 22940 23085 23230 23375 23520 23665 23810 23955 24100 24245 24390 24535
##  [7885] 24680 24825 24970 25115 25260 25405 25550 25695 25840 25985 26130 26275
##  [7897] 26420 26565 26710 26855 27000 27145 27290 27435 27580 27725 27870 28015
##  [7909] 28160 28305 28450 28595 28740 28885 29030 29175 29320 29465 29610 29755
##  [7921] 29900 30045 30190 30335 30480 30625 30770 30915 31060 31205 31350 31495
##  [7933] 31640 31785 31930 32075 32220 32365 32510 32655 32800 32945 33090 33235
##  [7945] 33380 33525 33670 33815 33960 34105 34250 34395 34540 34685 34830 34975
##  [7957] 35120 35265 35410 35555 35700 35845 35990 36135 36280 36425 36570 36715
##  [7969] 36860 37005 37150 37295 37440 37585 37730 37875 38020 38165 38310 38455
##  [7981]    31   176   321   466   611   756   901  1046  1191  1336  1481  1626
##  [7993]  1771  1916  2061  2206  2351  2496  2641  2786  2931  3076  3221  3366
##  [8005]  3511  3656  3801  3946  4091  4236  4381  4526  4671  4816  4961  5106
##  [8017]  5251  5396  5541  5686  5831  5976  6121  6266  6411  6556  6701  6846
##  [8029]  6991  7136  7281  7426  7571  7716  7861  8006  8151  8296  8441  8586
##  [8041]  8731  8876  9021  9166  9311  9456  9601  9746  9891 10036 10181 10326
##  [8053] 10471 10616 10761 10906 11051 11196 11341 11486 11631 11776 11921 12066
##  [8065] 12211 12356 12501 12646 12791 12936 13081 13226 13371 13516 13661 13806
##  [8077] 13951 14096 14241 14386 14531 14676 14821 14966 15111 15256 15401 15546
##  [8089] 15691 15836 15981 16126 16271 16416 16561 16706 16851 16996 17141 17286
##  [8101] 17431 17576 17721 17866 18011 18156 18301 18446 18591 18736 18881 19026
##  [8113] 19171 19316 19461 19606 19751 19896 20041 20186 20331 20476 20621 20766
##  [8125] 20911 21056 21201 21346 21491 21636 21781 21926 22071 22216 22361 22506
##  [8137] 22651 22796 22941 23086 23231 23376 23521 23666 23811 23956 24101 24246
##  [8149] 24391 24536 24681 24826 24971 25116 25261 25406 25551 25696 25841 25986
##  [8161] 26131 26276 26421 26566 26711 26856 27001 27146 27291 27436 27581 27726
##  [8173] 27871 28016 28161 28306 28451 28596 28741 28886 29031 29176 29321 29466
##  [8185] 29611 29756 29901 30046 30191 30336 30481 30626 30771 30916 31061 31206
##  [8197] 31351 31496 31641 31786 31931 32076 32221 32366 32511 32656 32801 32946
##  [8209] 33091 33236 33381 33526 33671 33816 33961 34106 34251 34396 34541 34686
##  [8221] 34831 34976 35121 35266 35411 35556 35701 35846 35991 36136 36281 36426
##  [8233] 36571 36716 36861 37006 37151 37296 37441 37586 37731 37876 38021 38166
##  [8245] 38311 38456    32   177   322   467   612   757   902  1047  1192  1337
##  [8257]  1482  1627  1772  1917  2062  2207  2352  2497  2642  2787  2932  3077
##  [8269]  3222  3367  3512  3657  3802  3947  4092  4237  4382  4527  4672  4817
##  [8281]  4962  5107  5252  5397  5542  5687  5832  5977  6122  6267  6412  6557
##  [8293]  6702  6847  6992  7137  7282  7427  7572  7717  7862  8007  8152  8297
##  [8305]  8442  8587  8732  8877  9022  9167  9312  9457  9602  9747  9892 10037
##  [8317] 10182 10327 10472 10617 10762 10907 11052 11197 11342 11487 11632 11777
##  [8329] 11922 12067 12212 12357 12502 12647 12792 12937 13082 13227 13372 13517
##  [8341] 13662 13807 13952 14097 14242 14387 14532 14677 14822 14967 15112 15257
##  [8353] 15402 15547 15692 15837 15982 16127 16272 16417 16562 16707 16852 16997
##  [8365] 17142 17287 17432 17577 17722 17867 18012 18157 18302 18447 18592 18737
##  [8377] 18882 19027 19172 19317 19462 19607 19752 19897 20042 20187 20332 20477
##  [8389] 20622 20767 20912 21057 21202 21347 21492 21637 21782 21927 22072 22217
##  [8401] 22362 22507 22652 22797 22942 23087 23232 23377 23522 23667 23812 23957
##  [8413] 24102 24247 24392 24537 24682 24827 24972 25117 25262 25407 25552 25697
##  [8425] 25842 25987 26132 26277 26422 26567 26712 26857 27002 27147 27292 27437
##  [8437] 27582 27727 27872 28017 28162 28307 28452 28597 28742 28887 29032 29177
##  [8449] 29322 29467 29612 29757 29902 30047 30192 30337 30482 30627 30772 30917
##  [8461] 31062 31207 31352 31497 31642 31787 31932 32077 32222 32367 32512 32657
##  [8473] 32802 32947 33092 33237 33382 33527 33672 33817 33962 34107 34252 34397
##  [8485] 34542 34687 34832 34977 35122 35267 35412 35557 35702 35847 35992 36137
##  [8497] 36282 36427 36572 36717 36862 37007 37152 37297 37442 37587 37732 37877
##  [8509] 38022 38167 38312 38457    33   178   323   468   613   758   903  1048
##  [8521]  1193  1338  1483  1628  1773  1918  2063  2208  2353  2498  2643  2788
##  [8533]  2933  3078  3223  3368  3513  3658  3803  3948  4093  4238  4383  4528
##  [8545]  4673  4818  4963  5108  5253  5398  5543  5688  5833  5978  6123  6268
##  [8557]  6413  6558  6703  6848  6993  7138  7283  7428  7573  7718  7863  8008
##  [8569]  8153  8298  8443  8588  8733  8878  9023  9168  9313  9458  9603  9748
##  [8581]  9893 10038 10183 10328 10473 10618 10763 10908 11053 11198 11343 11488
##  [8593] 11633 11778 11923 12068 12213 12358 12503 12648 12793 12938 13083 13228
##  [8605] 13373 13518 13663 13808 13953 14098 14243 14388 14533 14678 14823 14968
##  [8617] 15113 15258 15403 15548 15693 15838 15983 16128 16273 16418 16563 16708
##  [8629] 16853 16998 17143 17288 17433 17578 17723 17868 18013 18158 18303 18448
##  [8641] 18593 18738 18883 19028 19173 19318 19463 19608 19753 19898 20043 20188
##  [8653] 20333 20478 20623 20768 20913 21058 21203 21348 21493 21638 21783 21928
##  [8665] 22073 22218 22363 22508 22653 22798 22943 23088 23233 23378 23523 23668
##  [8677] 23813 23958 24103 24248 24393 24538 24683 24828 24973 25118 25263 25408
##  [8689] 25553 25698 25843 25988 26133 26278 26423 26568 26713 26858 27003 27148
##  [8701] 27293 27438 27583 27728 27873 28018 28163 28308 28453 28598 28743 28888
##  [8713] 29033 29178 29323 29468 29613 29758 29903 30048 30193 30338 30483 30628
##  [8725] 30773 30918 31063 31208 31353 31498 31643 31788 31933 32078 32223 32368
##  [8737] 32513 32658 32803 32948 33093 33238 33383 33528 33673 33818 33963 34108
##  [8749] 34253 34398 34543 34688 34833 34978 35123 35268 35413 35558 35703 35848
##  [8761] 35993 36138 36283 36428 36573 36718 36863 37008 37153 37298 37443 37588
##  [8773] 37733 37878 38023 38168 38313 38458    34   179   324   469   614   759
##  [8785]   904  1049  1194  1339  1484  1629  1774  1919  2064  2209  2354  2499
##  [8797]  2644  2789  2934  3079  3224  3369  3514  3659  3804  3949  4094  4239
##  [8809]  4384  4529  4674  4819  4964  5109  5254  5399  5544  5689  5834  5979
##  [8821]  6124  6269  6414  6559  6704  6849  6994  7139  7284  7429  7574  7719
##  [8833]  7864  8009  8154  8299  8444  8589  8734  8879  9024  9169  9314  9459
##  [8845]  9604  9749  9894 10039 10184 10329 10474 10619 10764 10909 11054 11199
##  [8857] 11344 11489 11634 11779 11924 12069 12214 12359 12504 12649 12794 12939
##  [8869] 13084 13229 13374 13519 13664 13809 13954 14099 14244 14389 14534 14679
##  [8881] 14824 14969 15114 15259 15404 15549 15694 15839 15984 16129 16274 16419
##  [8893] 16564 16709 16854 16999 17144 17289 17434 17579 17724 17869 18014 18159
##  [8905] 18304 18449 18594 18739 18884 19029 19174 19319 19464 19609 19754 19899
##  [8917] 20044 20189 20334 20479 20624 20769 20914 21059 21204 21349 21494 21639
##  [8929] 21784 21929 22074 22219 22364 22509 22654 22799 22944 23089 23234 23379
##  [8941] 23524 23669 23814 23959 24104 24249 24394 24539 24684 24829 24974 25119
##  [8953] 25264 25409 25554 25699 25844 25989 26134 26279 26424 26569 26714 26859
##  [8965] 27004 27149 27294 27439 27584 27729 27874 28019 28164 28309 28454 28599
##  [8977] 28744 28889 29034 29179 29324 29469 29614 29759 29904 30049 30194 30339
##  [8989] 30484 30629 30774 30919 31064 31209 31354 31499 31644 31789 31934 32079
##  [9001] 32224 32369 32514 32659 32804 32949 33094 33239 33384 33529 33674 33819
##  [9013] 33964 34109 34254 34399 34544 34689 34834 34979 35124 35269 35414 35559
##  [9025] 35704 35849 35994 36139 36284 36429 36574 36719 36864 37009 37154 37299
##  [9037] 37444 37589 37734 37879 38024 38169 38314 38459    35   180   325   470
##  [9049]   615   760   905  1050  1195  1340  1485  1630  1775  1920  2065  2210
##  [9061]  2355  2500  2645  2790  2935  3080  3225  3370  3515  3660  3805  3950
##  [9073]  4095  4240  4385  4530  4675  4820  4965  5110  5255  5400  5545  5690
##  [9085]  5835  5980  6125  6270  6415  6560  6705  6850  6995  7140  7285  7430
##  [9097]  7575  7720  7865  8010  8155  8300  8445  8590  8735  8880  9025  9170
##  [9109]  9315  9460  9605  9750  9895 10040 10185 10330 10475 10620 10765 10910
##  [9121] 11055 11200 11345 11490 11635 11780 11925 12070 12215 12360 12505 12650
##  [9133] 12795 12940 13085 13230 13375 13520 13665 13810 13955 14100 14245 14390
##  [9145] 14535 14680 14825 14970 15115 15260 15405 15550 15695 15840 15985 16130
##  [9157] 16275 16420 16565 16710 16855 17000 17145 17290 17435 17580 17725 17870
##  [9169] 18015 18160 18305 18450 18595 18740 18885 19030 19175 19320 19465 19610
##  [9181] 19755 19900 20045 20190 20335 20480 20625 20770 20915 21060 21205 21350
##  [9193] 21495 21640 21785 21930 22075 22220 22365 22510 22655 22800 22945 23090
##  [9205] 23235 23380 23525 23670 23815 23960 24105 24250 24395 24540 24685 24830
##  [9217] 24975 25120 25265 25410 25555 25700 25845 25990 26135 26280 26425 26570
##  [9229] 26715 26860 27005 27150 27295 27440 27585 27730 27875 28020 28165 28310
##  [9241] 28455 28600 28745 28890 29035 29180 29325 29470 29615 29760 29905 30050
##  [9253] 30195 30340 30485 30630 30775 30920 31065 31210 31355 31500 31645 31790
##  [9265] 31935 32080 32225 32370 32515 32660 32805 32950 33095 33240 33385 33530
##  [9277] 33675 33820 33965 34110 34255 34400 34545 34690 34835 34980 35125 35270
##  [9289] 35415 35560 35705 35850 35995 36140 36285 36430 36575 36720 36865 37010
##  [9301] 37155 37300 37445 37590 37735 37880 38025 38170 38315 38460    36   181
##  [9313]   326   471   616   761   906  1051  1196  1341  1486  1631  1776  1921
##  [9325]  2066  2211  2356  2501  2646  2791  2936  3081  3226  3371  3516  3661
##  [9337]  3806  3951  4096  4241  4386  4531  4676  4821  4966  5111  5256  5401
##  [9349]  5546  5691  5836  5981  6126  6271  6416  6561  6706  6851  6996  7141
##  [9361]  7286  7431  7576  7721  7866  8011  8156  8301  8446  8591  8736  8881
##  [9373]  9026  9171  9316  9461  9606  9751  9896 10041 10186 10331 10476 10621
##  [9385] 10766 10911 11056 11201 11346 11491 11636 11781 11926 12071 12216 12361
##  [9397] 12506 12651 12796 12941 13086 13231 13376 13521 13666 13811 13956 14101
##  [9409] 14246 14391 14536 14681 14826 14971 15116 15261 15406 15551 15696 15841
##  [9421] 15986 16131 16276 16421 16566 16711 16856 17001 17146 17291 17436 17581
##  [9433] 17726 17871 18016 18161 18306 18451 18596 18741 18886 19031 19176 19321
##  [9445] 19466 19611 19756 19901 20046 20191 20336 20481 20626 20771 20916 21061
##  [9457] 21206 21351 21496 21641 21786 21931 22076 22221 22366 22511 22656 22801
##  [9469] 22946 23091 23236 23381 23526 23671 23816 23961 24106 24251 24396 24541
##  [9481] 24686 24831 24976 25121 25266 25411 25556 25701 25846 25991 26136 26281
##  [9493] 26426 26571 26716 26861 27006 27151 27296 27441 27586 27731 27876 28021
##  [9505] 28166 28311 28456 28601 28746 28891 29036 29181 29326 29471 29616 29761
##  [9517] 29906 30051 30196 30341 30486 30631 30776 30921 31066 31211 31356 31501
##  [9529] 31646 31791 31936 32081 32226 32371 32516 32661 32806 32951 33096 33241
##  [9541] 33386 33531 33676 33821 33966 34111 34256 34401 34546 34691 34836 34981
##  [9553] 35126 35271 35416 35561 35706 35851 35996 36141 36286 36431 36576 36721
##  [9565] 36866 37011 37156 37301 37446 37591 37736 37881 38026 38171 38316 38461
##  [9577]    37   182   327   472   617   762   907  1052  1197  1342  1487  1632
##  [9589]  1777  1922  2067  2212  2357  2502  2647  2792  2937  3082  3227  3372
##  [9601]  3517  3662  3807  3952  4097  4242  4387  4532  4677  4822  4967  5112
##  [9613]  5257  5402  5547  5692  5837  5982  6127  6272  6417  6562  6707  6852
##  [9625]  6997  7142  7287  7432  7577  7722  7867  8012  8157  8302  8447  8592
##  [9637]  8737  8882  9027  9172  9317  9462  9607  9752  9897 10042 10187 10332
##  [9649] 10477 10622 10767 10912 11057 11202 11347 11492 11637 11782 11927 12072
##  [9661] 12217 12362 12507 12652 12797 12942 13087 13232 13377 13522 13667 13812
##  [9673] 13957 14102 14247 14392 14537 14682 14827 14972 15117 15262 15407 15552
##  [9685] 15697 15842 15987 16132 16277 16422 16567 16712 16857 17002 17147 17292
##  [9697] 17437 17582 17727 17872 18017 18162 18307 18452 18597 18742 18887 19032
##  [9709] 19177 19322 19467 19612 19757 19902 20047 20192 20337 20482 20627 20772
##  [9721] 20917 21062 21207 21352 21497 21642 21787 21932 22077 22222 22367 22512
##  [9733] 22657 22802 22947 23092 23237 23382 23527 23672 23817 23962 24107 24252
##  [9745] 24397 24542 24687 24832 24977 25122 25267 25412 25557 25702 25847 25992
##  [9757] 26137 26282 26427 26572 26717 26862 27007 27152 27297 27442 27587 27732
##  [9769] 27877 28022 28167 28312 28457 28602 28747 28892 29037 29182 29327 29472
##  [9781] 29617 29762 29907 30052 30197 30342 30487 30632 30777 30922 31067 31212
##  [9793] 31357 31502 31647 31792 31937 32082 32227 32372 32517 32662 32807 32952
##  [9805] 33097 33242 33387 33532 33677 33822 33967 34112 34257 34402 34547 34692
##  [9817] 34837 34982 35127 35272 35417 35562 35707 35852 35997 36142 36287 36432
##  [9829] 36577 36722 36867 37012 37157 37302 37447 37592 37737 37882 38027 38172
##  [9841] 38317 38462    38   183   328   473   618   763   908  1053  1198  1343
##  [9853]  1488  1633  1778  1923  2068  2213  2358  2503  2648  2793  2938  3083
##  [9865]  3228  3373  3518  3663  3808  3953  4098  4243  4388  4533  4678  4823
##  [9877]  4968  5113  5258  5403  5548  5693  5838  5983  6128  6273  6418  6563
##  [9889]  6708  6853  6998  7143  7288  7433  7578  7723  7868  8013  8158  8303
##  [9901]  8448  8593  8738  8883  9028  9173  9318  9463  9608  9753  9898 10043
##  [9913] 10188 10333 10478 10623 10768 10913 11058 11203 11348 11493 11638 11783
##  [9925] 11928 12073 12218 12363 12508 12653 12798 12943 13088 13233 13378 13523
##  [9937] 13668 13813 13958 14103 14248 14393 14538 14683 14828 14973 15118 15263
##  [9949] 15408 15553 15698 15843 15988 16133 16278 16423 16568 16713 16858 17003
##  [9961] 17148 17293 17438 17583 17728 17873 18018 18163 18308 18453 18598 18743
##  [9973] 18888 19033 19178 19323 19468 19613 19758 19903 20048 20193 20338 20483
##  [9985] 20628 20773 20918 21063 21208 21353 21498 21643 21788 21933 22078 22223
##  [9997] 22368 22513 22658 22803 22948 23093 23238 23383 23528 23673 23818 23963
## [10009] 24108 24253 24398 24543 24688 24833 24978 25123 25268 25413 25558 25703
## [10021] 25848 25993 26138 26283 26428 26573 26718 26863 27008 27153 27298 27443
## [10033] 27588 27733 27878 28023 28168 28313 28458 28603 28748 28893 29038 29183
## [10045] 29328 29473 29618 29763 29908 30053 30198 30343 30488 30633 30778 30923
## [10057] 31068 31213 31358 31503 31648 31793 31938 32083 32228 32373 32518 32663
## [10069] 32808 32953 33098 33243 33388 33533 33678 33823 33968 34113 34258 34403
## [10081] 34548 34693 34838 34983 35128 35273 35418 35563 35708 35853 35998 36143
## [10093] 36288 36433 36578 36723 36868 37013 37158 37303 37448 37593 37738 37883
## [10105] 38028 38173 38318 38463    39   184   329   474   619   764   909  1054
## [10117]  1199  1344  1489  1634  1779  1924  2069  2214  2359  2504  2649  2794
## [10129]  2939  3084  3229  3374  3519  3664  3809  3954  4099  4244  4389  4534
## [10141]  4679  4824  4969  5114  5259  5404  5549  5694  5839  5984  6129  6274
## [10153]  6419  6564  6709  6854  6999  7144  7289  7434  7579  7724  7869  8014
## [10165]  8159  8304  8449  8594  8739  8884  9029  9174  9319  9464  9609  9754
## [10177]  9899 10044 10189 10334 10479 10624 10769 10914 11059 11204 11349 11494
## [10189] 11639 11784 11929 12074 12219 12364 12509 12654 12799 12944 13089 13234
## [10201] 13379 13524 13669 13814 13959 14104 14249 14394 14539 14684 14829 14974
## [10213] 15119 15264 15409 15554 15699 15844 15989 16134 16279 16424 16569 16714
## [10225] 16859 17004 17149 17294 17439 17584 17729 17874 18019 18164 18309 18454
## [10237] 18599 18744 18889 19034 19179 19324 19469 19614 19759 19904 20049 20194
## [10249] 20339 20484 20629 20774 20919 21064 21209 21354 21499 21644 21789 21934
## [10261] 22079 22224 22369 22514 22659 22804 22949 23094 23239 23384 23529 23674
## [10273] 23819 23964 24109 24254 24399 24544 24689 24834 24979 25124 25269 25414
## [10285] 25559 25704 25849 25994 26139 26284 26429 26574 26719 26864 27009 27154
## [10297] 27299 27444 27589 27734 27879 28024 28169 28314 28459 28604 28749 28894
## [10309] 29039 29184 29329 29474 29619 29764 29909 30054 30199 30344 30489 30634
## [10321] 30779 30924 31069 31214 31359 31504 31649 31794 31939 32084 32229 32374
## [10333] 32519 32664 32809 32954 33099 33244 33389 33534 33679 33824 33969 34114
## [10345] 34259 34404 34549 34694 34839 34984 35129 35274 35419 35564 35709 35854
## [10357] 35999 36144 36289 36434 36579 36724 36869 37014 37159 37304 37449 37594
## [10369] 37739 37884 38029 38174 38319 38464    40   185   330   475   620   765
## [10381]   910  1055  1200  1345  1490  1635  1780  1925  2070  2215  2360  2505
## [10393]  2650  2795  2940  3085  3230  3375  3520  3665  3810  3955  4100  4245
## [10405]  4390  4535  4680  4825  4970  5115  5260  5405  5550  5695  5840  5985
## [10417]  6130  6275  6420  6565  6710  6855  7000  7145  7290  7435  7580  7725
## [10429]  7870  8015  8160  8305  8450  8595  8740  8885  9030  9175  9320  9465
## [10441]  9610  9755  9900 10045 10190 10335 10480 10625 10770 10915 11060 11205
## [10453] 11350 11495 11640 11785 11930 12075 12220 12365 12510 12655 12800 12945
## [10465] 13090 13235 13380 13525 13670 13815 13960 14105 14250 14395 14540 14685
## [10477] 14830 14975 15120 15265 15410 15555 15700 15845 15990 16135 16280 16425
## [10489] 16570 16715 16860 17005 17150 17295 17440 17585 17730 17875 18020 18165
## [10501] 18310 18455 18600 18745 18890 19035 19180 19325 19470 19615 19760 19905
## [10513] 20050 20195 20340 20485 20630 20775 20920 21065 21210 21355 21500 21645
## [10525] 21790 21935 22080 22225 22370 22515 22660 22805 22950 23095 23240 23385
## [10537] 23530 23675 23820 23965 24110 24255 24400 24545 24690 24835 24980 25125
## [10549] 25270 25415 25560 25705 25850 25995 26140 26285 26430 26575 26720 26865
## [10561] 27010 27155 27300 27445 27590 27735 27880 28025 28170 28315 28460 28605
## [10573] 28750 28895 29040 29185 29330 29475 29620 29765 29910 30055 30200 30345
## [10585] 30490 30635 30780 30925 31070 31215 31360 31505 31650 31795 31940 32085
## [10597] 32230 32375 32520 32665 32810 32955 33100 33245 33390 33535 33680 33825
## [10609] 33970 34115 34260 34405 34550 34695 34840 34985 35130 35275 35420 35565
## [10621] 35710 35855 36000 36145 36290 36435 36580 36725 36870 37015 37160 37305
## [10633] 37450 37595 37740 37885 38030 38175 38320 38465    41   186   331   476
## [10645]   621   766   911  1056  1201  1346  1491  1636  1781  1926  2071  2216
## [10657]  2361  2506  2651  2796  2941  3086  3231  3376  3521  3666  3811  3956
## [10669]  4101  4246  4391  4536  4681  4826  4971  5116  5261  5406  5551  5696
## [10681]  5841  5986  6131  6276  6421  6566  6711  6856  7001  7146  7291  7436
## [10693]  7581  7726  7871  8016  8161  8306  8451  8596  8741  8886  9031  9176
## [10705]  9321  9466  9611  9756  9901 10046 10191 10336 10481 10626 10771 10916
## [10717] 11061 11206 11351 11496 11641 11786 11931 12076 12221 12366 12511 12656
## [10729] 12801 12946 13091 13236 13381 13526 13671 13816 13961 14106 14251 14396
## [10741] 14541 14686 14831 14976 15121 15266 15411 15556 15701 15846 15991 16136
## [10753] 16281 16426 16571 16716 16861 17006 17151 17296 17441 17586 17731 17876
## [10765] 18021 18166 18311 18456 18601 18746 18891 19036 19181 19326 19471 19616
## [10777] 19761 19906 20051 20196 20341 20486 20631 20776 20921 21066 21211 21356
## [10789] 21501 21646 21791 21936 22081 22226 22371 22516 22661 22806 22951 23096
## [10801] 23241 23386 23531 23676 23821 23966 24111 24256 24401 24546 24691 24836
## [10813] 24981 25126 25271 25416 25561 25706 25851 25996 26141 26286 26431 26576
## [10825] 26721 26866 27011 27156 27301 27446 27591 27736 27881 28026 28171 28316
## [10837] 28461 28606 28751 28896 29041 29186 29331 29476 29621 29766 29911 30056
## [10849] 30201 30346 30491 30636 30781 30926 31071 31216 31361 31506 31651 31796
## [10861] 31941 32086 32231 32376 32521 32666 32811 32956 33101 33246 33391 33536
## [10873] 33681 33826 33971 34116 34261 34406 34551 34696 34841 34986 35131 35276
## [10885] 35421 35566 35711 35856 36001 36146 36291 36436 36581 36726 36871 37016
## [10897] 37161 37306 37451 37596 37741 37886 38031 38176 38321 38466    42   187
## [10909]   332   477   622   767   912  1057  1202  1347  1492  1637  1782  1927
## [10921]  2072  2217  2362  2507  2652  2797  2942  3087  3232  3377  3522  3667
## [10933]  3812  3957  4102  4247  4392  4537  4682  4827  4972  5117  5262  5407
## [10945]  5552  5697  5842  5987  6132  6277  6422  6567  6712  6857  7002  7147
## [10957]  7292  7437  7582  7727  7872  8017  8162  8307  8452  8597  8742  8887
## [10969]  9032  9177  9322  9467  9612  9757  9902 10047 10192 10337 10482 10627
## [10981] 10772 10917 11062 11207 11352 11497 11642 11787 11932 12077 12222 12367
## [10993] 12512 12657 12802 12947 13092 13237 13382 13527 13672 13817 13962 14107
## [11005] 14252 14397 14542 14687 14832 14977 15122 15267 15412 15557 15702 15847
## [11017] 15992 16137 16282 16427 16572 16717 16862 17007 17152 17297 17442 17587
## [11029] 17732 17877 18022 18167 18312 18457 18602 18747 18892 19037 19182 19327
## [11041] 19472 19617 19762 19907 20052 20197 20342 20487 20632 20777 20922 21067
## [11053] 21212 21357 21502 21647 21792 21937 22082 22227 22372 22517 22662 22807
## [11065] 22952 23097 23242 23387 23532 23677 23822 23967 24112 24257 24402 24547
## [11077] 24692 24837 24982 25127 25272 25417 25562 25707 25852 25997 26142 26287
## [11089] 26432 26577 26722 26867 27012 27157 27302 27447 27592 27737 27882 28027
## [11101] 28172 28317 28462 28607 28752 28897 29042 29187 29332 29477 29622 29767
## [11113] 29912 30057 30202 30347 30492 30637 30782 30927 31072 31217 31362 31507
## [11125] 31652 31797 31942 32087 32232 32377 32522 32667 32812 32957 33102 33247
## [11137] 33392 33537 33682 33827 33972 34117 34262 34407 34552 34697 34842 34987
## [11149] 35132 35277 35422 35567 35712 35857 36002 36147 36292 36437 36582 36727
## [11161] 36872 37017 37162 37307 37452 37597 37742 37887 38032 38177 38322 38467
## [11173]    43   188   333   478   623   768   913  1058  1203  1348  1493  1638
## [11185]  1783  1928  2073  2218  2363  2508  2653  2798  2943  3088  3233  3378
## [11197]  3523  3668  3813  3958  4103  4248  4393  4538  4683  4828  4973  5118
## [11209]  5263  5408  5553  5698  5843  5988  6133  6278  6423  6568  6713  6858
## [11221]  7003  7148  7293  7438  7583  7728  7873  8018  8163  8308  8453  8598
## [11233]  8743  8888  9033  9178  9323  9468  9613  9758  9903 10048 10193 10338
## [11245] 10483 10628 10773 10918 11063 11208 11353 11498 11643 11788 11933 12078
## [11257] 12223 12368 12513 12658 12803 12948 13093 13238 13383 13528 13673 13818
## [11269] 13963 14108 14253 14398 14543 14688 14833 14978 15123 15268 15413 15558
## [11281] 15703 15848 15993 16138 16283 16428 16573 16718 16863 17008 17153 17298
## [11293] 17443 17588 17733 17878 18023 18168 18313 18458 18603 18748 18893 19038
## [11305] 19183 19328 19473 19618 19763 19908 20053 20198 20343 20488 20633 20778
## [11317] 20923 21068 21213 21358 21503 21648 21793 21938 22083 22228 22373 22518
## [11329] 22663 22808 22953 23098 23243 23388 23533 23678 23823 23968 24113 24258
## [11341] 24403 24548 24693 24838 24983 25128 25273 25418 25563 25708 25853 25998
## [11353] 26143 26288 26433 26578 26723 26868 27013 27158 27303 27448 27593 27738
## [11365] 27883 28028 28173 28318 28463 28608 28753 28898 29043 29188 29333 29478
## [11377] 29623 29768 29913 30058 30203 30348 30493 30638 30783 30928 31073 31218
## [11389] 31363 31508 31653 31798 31943 32088 32233 32378 32523 32668 32813 32958
## [11401] 33103 33248 33393 33538 33683 33828 33973 34118 34263 34408 34553 34698
## [11413] 34843 34988 35133 35278 35423 35568 35713 35858 36003 36148 36293 36438
## [11425] 36583 36728 36873 37018 37163 37308 37453 37598 37743 37888 38033 38178
## [11437] 38323 38468    44   189   334   479   624   769   914  1059  1204  1349
## [11449]  1494  1639  1784  1929  2074  2219  2364  2509  2654  2799  2944  3089
## [11461]  3234  3379  3524  3669  3814  3959  4104  4249  4394  4539  4684  4829
## [11473]  4974  5119  5264  5409  5554  5699  5844  5989  6134  6279  6424  6569
## [11485]  6714  6859  7004  7149  7294  7439  7584  7729  7874  8019  8164  8309
## [11497]  8454  8599  8744  8889  9034  9179  9324  9469  9614  9759  9904 10049
## [11509] 10194 10339 10484 10629 10774 10919 11064 11209 11354 11499 11644 11789
## [11521] 11934 12079 12224 12369 12514 12659 12804 12949 13094 13239 13384 13529
## [11533] 13674 13819 13964 14109 14254 14399 14544 14689 14834 14979 15124 15269
## [11545] 15414 15559 15704 15849 15994 16139 16284 16429 16574 16719 16864 17009
## [11557] 17154 17299 17444 17589 17734 17879 18024 18169 18314 18459 18604 18749
## [11569] 18894 19039 19184 19329 19474 19619 19764 19909 20054 20199 20344 20489
## [11581] 20634 20779 20924 21069 21214 21359 21504 21649 21794 21939 22084 22229
## [11593] 22374 22519 22664 22809 22954 23099 23244 23389 23534 23679 23824 23969
## [11605] 24114 24259 24404 24549 24694 24839 24984 25129 25274 25419 25564 25709
## [11617] 25854 25999 26144 26289 26434 26579 26724 26869 27014 27159 27304 27449
## [11629] 27594 27739 27884 28029 28174 28319 28464 28609 28754 28899 29044 29189
## [11641] 29334 29479 29624 29769 29914 30059 30204 30349 30494 30639 30784 30929
## [11653] 31074 31219 31364 31509 31654 31799 31944 32089 32234 32379 32524 32669
## [11665] 32814 32959 33104 33249 33394 33539 33684 33829 33974 34119 34264 34409
## [11677] 34554 34699 34844 34989 35134 35279 35424 35569 35714 35859 36004 36149
## [11689] 36294 36439 36584 36729 36874 37019 37164 37309 37454 37599 37744 37889
## [11701] 38034 38179 38324 38469    45   190   335   480   625   770   915  1060
## [11713]  1205  1350  1495  1640  1785  1930  2075  2220  2365  2510  2655  2800
## [11725]  2945  3090  3235  3380  3525  3670  3815  3960  4105  4250  4395  4540
## [11737]  4685  4830  4975  5120  5265  5410  5555  5700  5845  5990  6135  6280
## [11749]  6425  6570  6715  6860  7005  7150  7295  7440  7585  7730  7875  8020
## [11761]  8165  8310  8455  8600  8745  8890  9035  9180  9325  9470  9615  9760
## [11773]  9905 10050 10195 10340 10485 10630 10775 10920 11065 11210 11355 11500
## [11785] 11645 11790 11935 12080 12225 12370 12515 12660 12805 12950 13095 13240
## [11797] 13385 13530 13675 13820 13965 14110 14255 14400 14545 14690 14835 14980
## [11809] 15125 15270 15415 15560 15705 15850 15995 16140 16285 16430 16575 16720
## [11821] 16865 17010 17155 17300 17445 17590 17735 17880 18025 18170 18315 18460
## [11833] 18605 18750 18895 19040 19185 19330 19475 19620 19765 19910 20055 20200
## [11845] 20345 20490 20635 20780 20925 21070 21215 21360 21505 21650 21795 21940
## [11857] 22085 22230 22375 22520 22665 22810 22955 23100 23245 23390 23535 23680
## [11869] 23825 23970 24115 24260 24405 24550 24695 24840 24985 25130 25275 25420
## [11881] 25565 25710 25855 26000 26145 26290 26435 26580 26725 26870 27015 27160
## [11893] 27305 27450 27595 27740 27885 28030 28175 28320 28465 28610 28755 28900
## [11905] 29045 29190 29335 29480 29625 29770 29915 30060 30205 30350 30495 30640
## [11917] 30785 30930 31075 31220 31365 31510 31655 31800 31945 32090 32235 32380
## [11929] 32525 32670 32815 32960 33105 33250 33395 33540 33685 33830 33975 34120
## [11941] 34265 34410 34555 34700 34845 34990 35135 35280 35425 35570 35715 35860
## [11953] 36005 36150 36295 36440 36585 36730 36875 37020 37165 37310 37455 37600
## [11965] 37745 37890 38035 38180 38325 38470    46   191   336   481   626   771
## [11977]   916  1061  1206  1351  1496  1641  1786  1931  2076  2221  2366  2511
## [11989]  2656  2801  2946  3091  3236  3381  3526  3671  3816  3961  4106  4251
## [12001]  4396  4541  4686  4831  4976  5121  5266  5411  5556  5701  5846  5991
## [12013]  6136  6281  6426  6571  6716  6861  7006  7151  7296  7441  7586  7731
## [12025]  7876  8021  8166  8311  8456  8601  8746  8891  9036  9181  9326  9471
## [12037]  9616  9761  9906 10051 10196 10341 10486 10631 10776 10921 11066 11211
## [12049] 11356 11501 11646 11791 11936 12081 12226 12371 12516 12661 12806 12951
## [12061] 13096 13241 13386 13531 13676 13821 13966 14111 14256 14401 14546 14691
## [12073] 14836 14981 15126 15271 15416 15561 15706 15851 15996 16141 16286 16431
## [12085] 16576 16721 16866 17011 17156 17301 17446 17591 17736 17881 18026 18171
## [12097] 18316 18461 18606 18751 18896 19041 19186 19331 19476 19621 19766 19911
## [12109] 20056 20201 20346 20491 20636 20781 20926 21071 21216 21361 21506 21651
## [12121] 21796 21941 22086 22231 22376 22521 22666 22811 22956 23101 23246 23391
## [12133] 23536 23681 23826 23971 24116 24261 24406 24551 24696 24841 24986 25131
## [12145] 25276 25421 25566 25711 25856 26001 26146 26291 26436 26581 26726 26871
## [12157] 27016 27161 27306 27451 27596 27741 27886 28031 28176 28321 28466 28611
## [12169] 28756 28901 29046 29191 29336 29481 29626 29771 29916 30061 30206 30351
## [12181] 30496 30641 30786 30931 31076 31221 31366 31511 31656 31801 31946 32091
## [12193] 32236 32381 32526 32671 32816 32961 33106 33251 33396 33541 33686 33831
## [12205] 33976 34121 34266 34411 34556 34701 34846 34991 35136 35281 35426 35571
## [12217] 35716 35861 36006 36151 36296 36441 36586 36731 36876 37021 37166 37311
## [12229] 37456 37601 37746 37891 38036 38181 38326 38471    47   192   337   482
## [12241]   627   772   917  1062  1207  1352  1497  1642  1787  1932  2077  2222
## [12253]  2367  2512  2657  2802  2947  3092  3237  3382  3527  3672  3817  3962
## [12265]  4107  4252  4397  4542  4687  4832  4977  5122  5267  5412  5557  5702
## [12277]  5847  5992  6137  6282  6427  6572  6717  6862  7007  7152  7297  7442
## [12289]  7587  7732  7877  8022  8167  8312  8457  8602  8747  8892  9037  9182
## [12301]  9327  9472  9617  9762  9907 10052 10197 10342 10487 10632 10777 10922
## [12313] 11067 11212 11357 11502 11647 11792 11937 12082 12227 12372 12517 12662
## [12325] 12807 12952 13097 13242 13387 13532 13677 13822 13967 14112 14257 14402
## [12337] 14547 14692 14837 14982 15127 15272 15417 15562 15707 15852 15997 16142
## [12349] 16287 16432 16577 16722 16867 17012 17157 17302 17447 17592 17737 17882
## [12361] 18027 18172 18317 18462 18607 18752 18897 19042 19187 19332 19477 19622
## [12373] 19767 19912 20057 20202 20347 20492 20637 20782 20927 21072 21217 21362
## [12385] 21507 21652 21797 21942 22087 22232 22377 22522 22667 22812 22957 23102
## [12397] 23247 23392 23537 23682 23827 23972 24117 24262 24407 24552 24697 24842
## [12409] 24987 25132 25277 25422 25567 25712 25857 26002 26147 26292 26437 26582
## [12421] 26727 26872 27017 27162 27307 27452 27597 27742 27887 28032 28177 28322
## [12433] 28467 28612 28757 28902 29047 29192 29337 29482 29627 29772 29917 30062
## [12445] 30207 30352 30497 30642 30787 30932 31077 31222 31367 31512 31657 31802
## [12457] 31947 32092 32237 32382 32527 32672 32817 32962 33107 33252 33397 33542
## [12469] 33687 33832 33977 34122 34267 34412 34557 34702 34847 34992 35137 35282
## [12481] 35427 35572 35717 35862 36007 36152 36297 36442 36587 36732 36877 37022
## [12493] 37167 37312 37457 37602 37747 37892 38037 38182 38327 38472    48   193
## [12505]   338   483   628   773   918  1063  1208  1353  1498  1643  1788  1933
## [12517]  2078  2223  2368  2513  2658  2803  2948  3093  3238  3383  3528  3673
## [12529]  3818  3963  4108  4253  4398  4543  4688  4833  4978  5123  5268  5413
## [12541]  5558  5703  5848  5993  6138  6283  6428  6573  6718  6863  7008  7153
## [12553]  7298  7443  7588  7733  7878  8023  8168  8313  8458  8603  8748  8893
## [12565]  9038  9183  9328  9473  9618  9763  9908 10053 10198 10343 10488 10633
## [12577] 10778 10923 11068 11213 11358 11503 11648 11793 11938 12083 12228 12373
## [12589] 12518 12663 12808 12953 13098 13243 13388 13533 13678 13823 13968 14113
## [12601] 14258 14403 14548 14693 14838 14983 15128 15273 15418 15563 15708 15853
## [12613] 15998 16143 16288 16433 16578 16723 16868 17013 17158 17303 17448 17593
## [12625] 17738 17883 18028 18173 18318 18463 18608 18753 18898 19043 19188 19333
## [12637] 19478 19623 19768 19913 20058 20203 20348 20493 20638 20783 20928 21073
## [12649] 21218 21363 21508 21653 21798 21943 22088 22233 22378 22523 22668 22813
## [12661] 22958 23103 23248 23393 23538 23683 23828 23973 24118 24263 24408 24553
## [12673] 24698 24843 24988 25133 25278 25423 25568 25713 25858 26003 26148 26293
## [12685] 26438 26583 26728 26873 27018 27163 27308 27453 27598 27743 27888 28033
## [12697] 28178 28323 28468 28613 28758 28903 29048 29193 29338 29483 29628 29773
## [12709] 29918 30063 30208 30353 30498 30643 30788 30933 31078 31223 31368 31513
## [12721] 31658 31803 31948 32093 32238 32383 32528 32673 32818 32963 33108 33253
## [12733] 33398 33543 33688 33833 33978 34123 34268 34413 34558 34703 34848 34993
## [12745] 35138 35283 35428 35573 35718 35863 36008 36153 36298 36443 36588 36733
## [12757] 36878 37023 37168 37313 37458 37603 37748 37893 38038 38183 38328 38473
## [12769]    49   194   339   484   629   774   919  1064  1209  1354  1499  1644
## [12781]  1789  1934  2079  2224  2369  2514  2659  2804  2949  3094  3239  3384
## [12793]  3529  3674  3819  3964  4109  4254  4399  4544  4689  4834  4979  5124
## [12805]  5269  5414  5559  5704  5849  5994  6139  6284  6429  6574  6719  6864
## [12817]  7009  7154  7299  7444  7589  7734  7879  8024  8169  8314  8459  8604
## [12829]  8749  8894  9039  9184  9329  9474  9619  9764  9909 10054 10199 10344
## [12841] 10489 10634 10779 10924 11069 11214 11359 11504 11649 11794 11939 12084
## [12853] 12229 12374 12519 12664 12809 12954 13099 13244 13389 13534 13679 13824
## [12865] 13969 14114 14259 14404 14549 14694 14839 14984 15129 15274 15419 15564
## [12877] 15709 15854 15999 16144 16289 16434 16579 16724 16869 17014 17159 17304
## [12889] 17449 17594 17739 17884 18029 18174 18319 18464 18609 18754 18899 19044
## [12901] 19189 19334 19479 19624 19769 19914 20059 20204 20349 20494 20639 20784
## [12913] 20929 21074 21219 21364 21509 21654 21799 21944 22089 22234 22379 22524
## [12925] 22669 22814 22959 23104 23249 23394 23539 23684 23829 23974 24119 24264
## [12937] 24409 24554 24699 24844 24989 25134 25279 25424 25569 25714 25859 26004
## [12949] 26149 26294 26439 26584 26729 26874 27019 27164 27309 27454 27599 27744
## [12961] 27889 28034 28179 28324 28469 28614 28759 28904 29049 29194 29339 29484
## [12973] 29629 29774 29919 30064 30209 30354 30499 30644 30789 30934 31079 31224
## [12985] 31369 31514 31659 31804 31949 32094 32239 32384 32529 32674 32819 32964
## [12997] 33109 33254 33399 33544 33689 33834 33979 34124 34269 34414 34559 34704
## [13009] 34849 34994 35139 35284 35429 35574 35719 35864 36009 36154 36299 36444
## [13021] 36589 36734 36879 37024 37169 37314 37459 37604 37749 37894 38039 38184
## [13033] 38329 38474    50   195   340   485   630   775   920  1065  1210  1355
## [13045]  1500  1645  1790  1935  2080  2225  2370  2515  2660  2805  2950  3095
## [13057]  3240  3385  3530  3675  3820  3965  4110  4255  4400  4545  4690  4835
## [13069]  4980  5125  5270  5415  5560  5705  5850  5995  6140  6285  6430  6575
## [13081]  6720  6865  7010  7155  7300  7445  7590  7735  7880  8025  8170  8315
## [13093]  8460  8605  8750  8895  9040  9185  9330  9475  9620  9765  9910 10055
## [13105] 10200 10345 10490 10635 10780 10925 11070 11215 11360 11505 11650 11795
## [13117] 11940 12085 12230 12375 12520 12665 12810 12955 13100 13245 13390 13535
## [13129] 13680 13825 13970 14115 14260 14405 14550 14695 14840 14985 15130 15275
## [13141] 15420 15565 15710 15855 16000 16145 16290 16435 16580 16725 16870 17015
## [13153] 17160 17305 17450 17595 17740 17885 18030 18175 18320 18465 18610 18755
## [13165] 18900 19045 19190 19335 19480 19625 19770 19915 20060 20205 20350 20495
## [13177] 20640 20785 20930 21075 21220 21365 21510 21655 21800 21945 22090 22235
## [13189] 22380 22525 22670 22815 22960 23105 23250 23395 23540 23685 23830 23975
## [13201] 24120 24265 24410 24555 24700 24845 24990 25135 25280 25425 25570 25715
## [13213] 25860 26005 26150 26295 26440 26585 26730 26875 27020 27165 27310 27455
## [13225] 27600 27745 27890 28035 28180 28325 28470 28615 28760 28905 29050 29195
## [13237] 29340 29485 29630 29775 29920 30065 30210 30355 30500 30645 30790 30935
## [13249] 31080 31225 31370 31515 31660 31805 31950 32095 32240 32385 32530 32675
## [13261] 32820 32965 33110 33255 33400 33545 33690 33835 33980 34125 34270 34415
## [13273] 34560 34705 34850 34995 35140 35285 35430 35575 35720 35865 36010 36155
## [13285] 36300 36445 36590 36735 36880 37025 37170 37315 37460 37605 37750 37895
## [13297] 38040 38185 38330 38475    51   196   341   486   631   776   921  1066
## [13309]  1211  1356  1501  1646  1791  1936  2081  2226  2371  2516  2661  2806
## [13321]  2951  3096  3241  3386  3531  3676  3821  3966  4111  4256  4401  4546
## [13333]  4691  4836  4981  5126  5271  5416  5561  5706  5851  5996  6141  6286
## [13345]  6431  6576  6721  6866  7011  7156  7301  7446  7591  7736  7881  8026
## [13357]  8171  8316  8461  8606  8751  8896  9041  9186  9331  9476  9621  9766
## [13369]  9911 10056 10201 10346 10491 10636 10781 10926 11071 11216 11361 11506
## [13381] 11651 11796 11941 12086 12231 12376 12521 12666 12811 12956 13101 13246
## [13393] 13391 13536 13681 13826 13971 14116 14261 14406 14551 14696 14841 14986
## [13405] 15131 15276 15421 15566 15711 15856 16001 16146 16291 16436 16581 16726
## [13417] 16871 17016 17161 17306 17451 17596 17741 17886 18031 18176 18321 18466
## [13429] 18611 18756 18901 19046 19191 19336 19481 19626 19771 19916 20061 20206
## [13441] 20351 20496 20641 20786 20931 21076 21221 21366 21511 21656 21801 21946
## [13453] 22091 22236 22381 22526 22671 22816 22961 23106 23251 23396 23541 23686
## [13465] 23831 23976 24121 24266 24411 24556 24701 24846 24991 25136 25281 25426
## [13477] 25571 25716 25861 26006 26151 26296 26441 26586 26731 26876 27021 27166
## [13489] 27311 27456 27601 27746 27891 28036 28181 28326 28471 28616 28761 28906
## [13501] 29051 29196 29341 29486 29631 29776 29921 30066 30211 30356 30501 30646
## [13513] 30791 30936 31081 31226 31371 31516 31661 31806 31951 32096 32241 32386
## [13525] 32531 32676 32821 32966 33111 33256 33401 33546 33691 33836 33981 34126
## [13537] 34271 34416 34561 34706 34851 34996 35141 35286 35431 35576 35721 35866
## [13549] 36011 36156 36301 36446 36591 36736 36881 37026 37171 37316 37461 37606
## [13561] 37751 37896 38041 38186 38331 38476    52   197   342   487   632   777
## [13573]   922  1067  1212  1357  1502  1647  1792  1937  2082  2227  2372  2517
## [13585]  2662  2807  2952  3097  3242  3387  3532  3677  3822  3967  4112  4257
## [13597]  4402  4547  4692  4837  4982  5127  5272  5417  5562  5707  5852  5997
## [13609]  6142  6287  6432  6577  6722  6867  7012  7157  7302  7447  7592  7737
## [13621]  7882  8027  8172  8317  8462  8607  8752  8897  9042  9187  9332  9477
## [13633]  9622  9767  9912 10057 10202 10347 10492 10637 10782 10927 11072 11217
## [13645] 11362 11507 11652 11797 11942 12087 12232 12377 12522 12667 12812 12957
## [13657] 13102 13247 13392 13537 13682 13827 13972 14117 14262 14407 14552 14697
## [13669] 14842 14987 15132 15277 15422 15567 15712 15857 16002 16147 16292 16437
## [13681] 16582 16727 16872 17017 17162 17307 17452 17597 17742 17887 18032 18177
## [13693] 18322 18467 18612 18757 18902 19047 19192 19337 19482 19627 19772 19917
## [13705] 20062 20207 20352 20497 20642 20787 20932 21077 21222 21367 21512 21657
## [13717] 21802 21947 22092 22237 22382 22527 22672 22817 22962 23107 23252 23397
## [13729] 23542 23687 23832 23977 24122 24267 24412 24557 24702 24847 24992 25137
## [13741] 25282 25427 25572 25717 25862 26007 26152 26297 26442 26587 26732 26877
## [13753] 27022 27167 27312 27457 27602 27747 27892 28037 28182 28327 28472 28617
## [13765] 28762 28907 29052 29197 29342 29487 29632 29777 29922 30067 30212 30357
## [13777] 30502 30647 30792 30937 31082 31227 31372 31517 31662 31807 31952 32097
## [13789] 32242 32387 32532 32677 32822 32967 33112 33257 33402 33547 33692 33837
## [13801] 33982 34127 34272 34417 34562 34707 34852 34997 35142 35287 35432 35577
## [13813] 35722 35867 36012 36157 36302 36447 36592 36737 36882 37027 37172 37317
## [13825] 37462 37607 37752 37897 38042 38187 38332 38477    53   198   343   488
## [13837]   633   778   923  1068  1213  1358  1503  1648  1793  1938  2083  2228
## [13849]  2373  2518  2663  2808  2953  3098  3243  3388  3533  3678  3823  3968
## [13861]  4113  4258  4403  4548  4693  4838  4983  5128  5273  5418  5563  5708
## [13873]  5853  5998  6143  6288  6433  6578  6723  6868  7013  7158  7303  7448
## [13885]  7593  7738  7883  8028  8173  8318  8463  8608  8753  8898  9043  9188
## [13897]  9333  9478  9623  9768  9913 10058 10203 10348 10493 10638 10783 10928
## [13909] 11073 11218 11363 11508 11653 11798 11943 12088 12233 12378 12523 12668
## [13921] 12813 12958 13103 13248 13393 13538 13683 13828 13973 14118 14263 14408
## [13933] 14553 14698 14843 14988 15133 15278 15423 15568 15713 15858 16003 16148
## [13945] 16293 16438 16583 16728 16873 17018 17163 17308 17453 17598 17743 17888
## [13957] 18033 18178 18323 18468 18613 18758 18903 19048 19193 19338 19483 19628
## [13969] 19773 19918 20063 20208 20353 20498 20643 20788 20933 21078 21223 21368
## [13981] 21513 21658 21803 21948 22093 22238 22383 22528 22673 22818 22963 23108
## [13993] 23253 23398 23543 23688 23833 23978 24123 24268 24413 24558 24703 24848
## [14005] 24993 25138 25283 25428 25573 25718 25863 26008 26153 26298 26443 26588
## [14017] 26733 26878 27023 27168 27313 27458 27603 27748 27893 28038 28183 28328
## [14029] 28473 28618 28763 28908 29053 29198 29343 29488 29633 29778 29923 30068
## [14041] 30213 30358 30503 30648 30793 30938 31083 31228 31373 31518 31663 31808
## [14053] 31953 32098 32243 32388 32533 32678 32823 32968 33113 33258 33403 33548
## [14065] 33693 33838 33983 34128 34273 34418 34563 34708 34853 34998 35143 35288
## [14077] 35433 35578 35723 35868 36013 36158 36303 36448 36593 36738 36883 37028
## [14089] 37173 37318 37463 37608 37753 37898 38043 38188 38333 38478    54   199
## [14101]   344   489   634   779   924  1069  1214  1359  1504  1649  1794  1939
## [14113]  2084  2229  2374  2519  2664  2809  2954  3099  3244  3389  3534  3679
## [14125]  3824  3969  4114  4259  4404  4549  4694  4839  4984  5129  5274  5419
## [14137]  5564  5709  5854  5999  6144  6289  6434  6579  6724  6869  7014  7159
## [14149]  7304  7449  7594  7739  7884  8029  8174  8319  8464  8609  8754  8899
## [14161]  9044  9189  9334  9479  9624  9769  9914 10059 10204 10349 10494 10639
## [14173] 10784 10929 11074 11219 11364 11509 11654 11799 11944 12089 12234 12379
## [14185] 12524 12669 12814 12959 13104 13249 13394 13539 13684 13829 13974 14119
## [14197] 14264 14409 14554 14699 14844 14989 15134 15279 15424 15569 15714 15859
## [14209] 16004 16149 16294 16439 16584 16729 16874 17019 17164 17309 17454 17599
## [14221] 17744 17889 18034 18179 18324 18469 18614 18759 18904 19049 19194 19339
## [14233] 19484 19629 19774 19919 20064 20209 20354 20499 20644 20789 20934 21079
## [14245] 21224 21369 21514 21659 21804 21949 22094 22239 22384 22529 22674 22819
## [14257] 22964 23109 23254 23399 23544 23689 23834 23979 24124 24269 24414 24559
## [14269] 24704 24849 24994 25139 25284 25429 25574 25719 25864 26009 26154 26299
## [14281] 26444 26589 26734 26879 27024 27169 27314 27459 27604 27749 27894 28039
## [14293] 28184 28329 28474 28619 28764 28909 29054 29199 29344 29489 29634 29779
## [14305] 29924 30069 30214 30359 30504 30649 30794 30939 31084 31229 31374 31519
## [14317] 31664 31809 31954 32099 32244 32389 32534 32679 32824 32969 33114 33259
## [14329] 33404 33549 33694 33839 33984 34129 34274 34419 34564 34709 34854 34999
## [14341] 35144 35289 35434 35579 35724 35869 36014 36159 36304 36449 36594 36739
## [14353] 36884 37029 37174 37319 37464 37609 37754 37899 38044 38189 38334 38479
## [14365]    55   200   345   490   635   780   925  1070  1215  1360  1505  1650
## [14377]  1795  1940  2085  2230  2375  2520  2665  2810  2955  3100  3245  3390
## [14389]  3535  3680  3825  3970  4115  4260  4405  4550  4695  4840  4985  5130
## [14401]  5275  5420  5565  5710  5855  6000  6145  6290  6435  6580  6725  6870
## [14413]  7015  7160  7305  7450  7595  7740  7885  8030  8175  8320  8465  8610
## [14425]  8755  8900  9045  9190  9335  9480  9625  9770  9915 10060 10205 10350
## [14437] 10495 10640 10785 10930 11075 11220 11365 11510 11655 11800 11945 12090
## [14449] 12235 12380 12525 12670 12815 12960 13105 13250 13395 13540 13685 13830
## [14461] 13975 14120 14265 14410 14555 14700 14845 14990 15135 15280 15425 15570
## [14473] 15715 15860 16005 16150 16295 16440 16585 16730 16875 17020 17165 17310
## [14485] 17455 17600 17745 17890 18035 18180 18325 18470 18615 18760 18905 19050
## [14497] 19195 19340 19485 19630 19775 19920 20065 20210 20355 20500 20645 20790
## [14509] 20935 21080 21225 21370 21515 21660 21805 21950 22095 22240 22385 22530
## [14521] 22675 22820 22965 23110 23255 23400 23545 23690 23835 23980 24125 24270
## [14533] 24415 24560 24705 24850 24995 25140 25285 25430 25575 25720 25865 26010
## [14545] 26155 26300 26445 26590 26735 26880 27025 27170 27315 27460 27605 27750
## [14557] 27895 28040 28185 28330 28475 28620 28765 28910 29055 29200 29345 29490
## [14569] 29635 29780 29925 30070 30215 30360 30505 30650 30795 30940 31085 31230
## [14581] 31375 31520 31665 31810 31955 32100 32245 32390 32535 32680 32825 32970
## [14593] 33115 33260 33405 33550 33695 33840 33985 34130 34275 34420 34565 34710
## [14605] 34855 35000 35145 35290 35435 35580 35725 35870 36015 36160 36305 36450
## [14617] 36595 36740 36885 37030 37175 37320 37465 37610 37755 37900 38045 38190
## [14629] 38335 38480    56   201   346   491   636   781   926  1071  1216  1361
## [14641]  1506  1651  1796  1941  2086  2231  2376  2521  2666  2811  2956  3101
## [14653]  3246  3391  3536  3681  3826  3971  4116  4261  4406  4551  4696  4841
## [14665]  4986  5131  5276  5421  5566  5711  5856  6001  6146  6291  6436  6581
## [14677]  6726  6871  7016  7161  7306  7451  7596  7741  7886  8031  8176  8321
## [14689]  8466  8611  8756  8901  9046  9191  9336  9481  9626  9771  9916 10061
## [14701] 10206 10351 10496 10641 10786 10931 11076 11221 11366 11511 11656 11801
## [14713] 11946 12091 12236 12381 12526 12671 12816 12961 13106 13251 13396 13541
## [14725] 13686 13831 13976 14121 14266 14411 14556 14701 14846 14991 15136 15281
## [14737] 15426 15571 15716 15861 16006 16151 16296 16441 16586 16731 16876 17021
## [14749] 17166 17311 17456 17601 17746 17891 18036 18181 18326 18471 18616 18761
## [14761] 18906 19051 19196 19341 19486 19631 19776 19921 20066 20211 20356 20501
## [14773] 20646 20791 20936 21081 21226 21371 21516 21661 21806 21951 22096 22241
## [14785] 22386 22531 22676 22821 22966 23111 23256 23401 23546 23691 23836 23981
## [14797] 24126 24271 24416 24561 24706 24851 24996 25141 25286 25431 25576 25721
## [14809] 25866 26011 26156 26301 26446 26591 26736 26881 27026 27171 27316 27461
## [14821] 27606 27751 27896 28041 28186 28331 28476 28621 28766 28911 29056 29201
## [14833] 29346 29491 29636 29781 29926 30071 30216 30361 30506 30651 30796 30941
## [14845] 31086 31231 31376 31521 31666 31811 31956 32101 32246 32391 32536 32681
## [14857] 32826 32971 33116 33261 33406 33551 33696 33841 33986 34131 34276 34421
## [14869] 34566 34711 34856 35001 35146 35291 35436 35581 35726 35871 36016 36161
## [14881] 36306 36451 36596 36741 36886 37031 37176 37321 37466 37611 37756 37901
## [14893] 38046 38191 38336 38481    57   202   347   492   637   782   927  1072
## [14905]  1217  1362  1507  1652  1797  1942  2087  2232  2377  2522  2667  2812
## [14917]  2957  3102  3247  3392  3537  3682  3827  3972  4117  4262  4407  4552
## [14929]  4697  4842  4987  5132  5277  5422  5567  5712  5857  6002  6147  6292
## [14941]  6437  6582  6727  6872  7017  7162  7307  7452  7597  7742  7887  8032
## [14953]  8177  8322  8467  8612  8757  8902  9047  9192  9337  9482  9627  9772
## [14965]  9917 10062 10207 10352 10497 10642 10787 10932 11077 11222 11367 11512
## [14977] 11657 11802 11947 12092 12237 12382 12527 12672 12817 12962 13107 13252
## [14989] 13397 13542 13687 13832 13977 14122 14267 14412 14557 14702 14847 14992
## [15001] 15137 15282 15427 15572 15717 15862 16007 16152 16297 16442 16587 16732
## [15013] 16877 17022 17167 17312 17457 17602 17747 17892 18037 18182 18327 18472
## [15025] 18617 18762 18907 19052 19197 19342 19487 19632 19777 19922 20067 20212
## [15037] 20357 20502 20647 20792 20937 21082 21227 21372 21517 21662 21807 21952
## [15049] 22097 22242 22387 22532 22677 22822 22967 23112 23257 23402 23547 23692
## [15061] 23837 23982 24127 24272 24417 24562 24707 24852 24997 25142 25287 25432
## [15073] 25577 25722 25867 26012 26157 26302 26447 26592 26737 26882 27027 27172
## [15085] 27317 27462 27607 27752 27897 28042 28187 28332 28477 28622 28767 28912
## [15097] 29057 29202 29347 29492 29637 29782 29927 30072 30217 30362 30507 30652
## [15109] 30797 30942 31087 31232 31377 31522 31667 31812 31957 32102 32247 32392
## [15121] 32537 32682 32827 32972 33117 33262 33407 33552 33697 33842 33987 34132
## [15133] 34277 34422 34567 34712 34857 35002 35147 35292 35437 35582 35727 35872
## [15145] 36017 36162 36307 36452 36597 36742 36887 37032 37177 37322 37467 37612
## [15157] 37757 37902 38047 38192 38337 38482    58   203   348   493   638   783
## [15169]   928  1073  1218  1363  1508  1653  1798  1943  2088  2233  2378  2523
## [15181]  2668  2813  2958  3103  3248  3393  3538  3683  3828  3973  4118  4263
## [15193]  4408  4553  4698  4843  4988  5133  5278  5423  5568  5713  5858  6003
## [15205]  6148  6293  6438  6583  6728  6873  7018  7163  7308  7453  7598  7743
## [15217]  7888  8033  8178  8323  8468  8613  8758  8903  9048  9193  9338  9483
## [15229]  9628  9773  9918 10063 10208 10353 10498 10643 10788 10933 11078 11223
## [15241] 11368 11513 11658 11803 11948 12093 12238 12383 12528 12673 12818 12963
## [15253] 13108 13253 13398 13543 13688 13833 13978 14123 14268 14413 14558 14703
## [15265] 14848 14993 15138 15283 15428 15573 15718 15863 16008 16153 16298 16443
## [15277] 16588 16733 16878 17023 17168 17313 17458 17603 17748 17893 18038 18183
## [15289] 18328 18473 18618 18763 18908 19053 19198 19343 19488 19633 19778 19923
## [15301] 20068 20213 20358 20503 20648 20793 20938 21083 21228 21373 21518 21663
## [15313] 21808 21953 22098 22243 22388 22533 22678 22823 22968 23113 23258 23403
## [15325] 23548 23693 23838 23983 24128 24273 24418 24563 24708 24853 24998 25143
## [15337] 25288 25433 25578 25723 25868 26013 26158 26303 26448 26593 26738 26883
## [15349] 27028 27173 27318 27463 27608 27753 27898 28043 28188 28333 28478 28623
## [15361] 28768 28913 29058 29203 29348 29493 29638 29783 29928 30073 30218 30363
## [15373] 30508 30653 30798 30943 31088 31233 31378 31523 31668 31813 31958 32103
## [15385] 32248 32393 32538 32683 32828 32973 33118 33263 33408 33553 33698 33843
## [15397] 33988 34133 34278 34423 34568 34713 34858 35003 35148 35293 35438 35583
## [15409] 35728 35873 36018 36163 36308 36453 36598 36743 36888 37033 37178 37323
## [15421] 37468 37613 37758 37903 38048 38193 38338 38483    59   204   349   494
## [15433]   639   784   929  1074  1219  1364  1509  1654  1799  1944  2089  2234
## [15445]  2379  2524  2669  2814  2959  3104  3249  3394  3539  3684  3829  3974
## [15457]  4119  4264  4409  4554  4699  4844  4989  5134  5279  5424  5569  5714
## [15469]  5859  6004  6149  6294  6439  6584  6729  6874  7019  7164  7309  7454
## [15481]  7599  7744  7889  8034  8179  8324  8469  8614  8759  8904  9049  9194
## [15493]  9339  9484  9629  9774  9919 10064 10209 10354 10499 10644 10789 10934
## [15505] 11079 11224 11369 11514 11659 11804 11949 12094 12239 12384 12529 12674
## [15517] 12819 12964 13109 13254 13399 13544 13689 13834 13979 14124 14269 14414
## [15529] 14559 14704 14849 14994 15139 15284 15429 15574 15719 15864 16009 16154
## [15541] 16299 16444 16589 16734 16879 17024 17169 17314 17459 17604 17749 17894
## [15553] 18039 18184 18329 18474 18619 18764 18909 19054 19199 19344 19489 19634
## [15565] 19779 19924 20069 20214 20359 20504 20649 20794 20939 21084 21229 21374
## [15577] 21519 21664 21809 21954 22099 22244 22389 22534 22679 22824 22969 23114
## [15589] 23259 23404 23549 23694 23839 23984 24129 24274 24419 24564 24709 24854
## [15601] 24999 25144 25289 25434 25579 25724 25869 26014 26159 26304 26449 26594
## [15613] 26739 26884 27029 27174 27319 27464 27609 27754 27899 28044 28189 28334
## [15625] 28479 28624 28769 28914 29059 29204 29349 29494 29639 29784 29929 30074
## [15637] 30219 30364 30509 30654 30799 30944 31089 31234 31379 31524 31669 31814
## [15649] 31959 32104 32249 32394 32539 32684 32829 32974 33119 33264 33409 33554
## [15661] 33699 33844 33989 34134 34279 34424 34569 34714 34859 35004 35149 35294
## [15673] 35439 35584 35729 35874 36019 36164 36309 36454 36599 36744 36889 37034
## [15685] 37179 37324 37469 37614 37759 37904 38049 38194 38339 38484    60   205
## [15697]   350   495   640   785   930  1075  1220  1365  1510  1655  1800  1945
## [15709]  2090  2235  2380  2525  2670  2815  2960  3105  3250  3395  3540  3685
## [15721]  3830  3975  4120  4265  4410  4555  4700  4845  4990  5135  5280  5425
## [15733]  5570  5715  5860  6005  6150  6295  6440  6585  6730  6875  7020  7165
## [15745]  7310  7455  7600  7745  7890  8035  8180  8325  8470  8615  8760  8905
## [15757]  9050  9195  9340  9485  9630  9775  9920 10065 10210 10355 10500 10645
## [15769] 10790 10935 11080 11225 11370 11515 11660 11805 11950 12095 12240 12385
## [15781] 12530 12675 12820 12965 13110 13255 13400 13545 13690 13835 13980 14125
## [15793] 14270 14415 14560 14705 14850 14995 15140 15285 15430 15575 15720 15865
## [15805] 16010 16155 16300 16445 16590 16735 16880 17025 17170 17315 17460 17605
## [15817] 17750 17895 18040 18185 18330 18475 18620 18765 18910 19055 19200 19345
## [15829] 19490 19635 19780 19925 20070 20215 20360 20505 20650 20795 20940 21085
## [15841] 21230 21375 21520 21665 21810 21955 22100 22245 22390 22535 22680 22825
## [15853] 22970 23115 23260 23405 23550 23695 23840 23985 24130 24275 24420 24565
## [15865] 24710 24855 25000 25145 25290 25435 25580 25725 25870 26015 26160 26305
## [15877] 26450 26595 26740 26885 27030 27175 27320 27465 27610 27755 27900 28045
## [15889] 28190 28335 28480 28625 28770 28915 29060 29205 29350 29495 29640 29785
## [15901] 29930 30075 30220 30365 30510 30655 30800 30945 31090 31235 31380 31525
## [15913] 31670 31815 31960 32105 32250 32395 32540 32685 32830 32975 33120 33265
## [15925] 33410 33555 33700 33845 33990 34135 34280 34425 34570 34715 34860 35005
## [15937] 35150 35295 35440 35585 35730 35875 36020 36165 36310 36455 36600 36745
## [15949] 36890 37035 37180 37325 37470 37615 37760 37905 38050 38195 38340 38485
## [15961]    61   206   351   496   641   786   931  1076  1221  1366  1511  1656
## [15973]  1801  1946  2091  2236  2381  2526  2671  2816  2961  3106  3251  3396
## [15985]  3541  3686  3831  3976  4121  4266  4411  4556  4701  4846  4991  5136
## [15997]  5281  5426  5571  5716  5861  6006  6151  6296  6441  6586  6731  6876
## [16009]  7021  7166  7311  7456  7601  7746  7891  8036  8181  8326  8471  8616
## [16021]  8761  8906  9051  9196  9341  9486  9631  9776  9921 10066 10211 10356
## [16033] 10501 10646 10791 10936 11081 11226 11371 11516 11661 11806 11951 12096
## [16045] 12241 12386 12531 12676 12821 12966 13111 13256 13401 13546 13691 13836
## [16057] 13981 14126 14271 14416 14561 14706 14851 14996 15141 15286 15431 15576
## [16069] 15721 15866 16011 16156 16301 16446 16591 16736 16881 17026 17171 17316
## [16081] 17461 17606 17751 17896 18041 18186 18331 18476 18621 18766 18911 19056
## [16093] 19201 19346 19491 19636 19781 19926 20071 20216 20361 20506 20651 20796
## [16105] 20941 21086 21231 21376 21521 21666 21811 21956 22101 22246 22391 22536
## [16117] 22681 22826 22971 23116 23261 23406 23551 23696 23841 23986 24131 24276
## [16129] 24421 24566 24711 24856 25001 25146 25291 25436 25581 25726 25871 26016
## [16141] 26161 26306 26451 26596 26741 26886 27031 27176 27321 27466 27611 27756
## [16153] 27901 28046 28191 28336 28481 28626 28771 28916 29061 29206 29351 29496
## [16165] 29641 29786 29931 30076 30221 30366 30511 30656 30801 30946 31091 31236
## [16177] 31381 31526 31671 31816 31961 32106 32251 32396 32541 32686 32831 32976
## [16189] 33121 33266 33411 33556 33701 33846 33991 34136 34281 34426 34571 34716
## [16201] 34861 35006 35151 35296 35441 35586 35731 35876 36021 36166 36311 36456
## [16213] 36601 36746 36891 37036 37181 37326 37471 37616 37761 37906 38051 38196
## [16225] 38341 38486    62   207   352   497   642   787   932  1077  1222  1367
## [16237]  1512  1657  1802  1947  2092  2237  2382  2527  2672  2817  2962  3107
## [16249]  3252  3397  3542  3687  3832  3977  4122  4267  4412  4557  4702  4847
## [16261]  4992  5137  5282  5427  5572  5717  5862  6007  6152  6297  6442  6587
## [16273]  6732  6877  7022  7167  7312  7457  7602  7747  7892  8037  8182  8327
## [16285]  8472  8617  8762  8907  9052  9197  9342  9487  9632  9777  9922 10067
## [16297] 10212 10357 10502 10647 10792 10937 11082 11227 11372 11517 11662 11807
## [16309] 11952 12097 12242 12387 12532 12677 12822 12967 13112 13257 13402 13547
## [16321] 13692 13837 13982 14127 14272 14417 14562 14707 14852 14997 15142 15287
## [16333] 15432 15577 15722 15867 16012 16157 16302 16447 16592 16737 16882 17027
## [16345] 17172 17317 17462 17607 17752 17897 18042 18187 18332 18477 18622 18767
## [16357] 18912 19057 19202 19347 19492 19637 19782 19927 20072 20217 20362 20507
## [16369] 20652 20797 20942 21087 21232 21377 21522 21667 21812 21957 22102 22247
## [16381] 22392 22537 22682 22827 22972 23117 23262 23407 23552 23697 23842 23987
## [16393] 24132 24277 24422 24567 24712 24857 25002 25147 25292 25437 25582 25727
## [16405] 25872 26017 26162 26307 26452 26597 26742 26887 27032 27177 27322 27467
## [16417] 27612 27757 27902 28047 28192 28337 28482 28627 28772 28917 29062 29207
## [16429] 29352 29497 29642 29787 29932 30077 30222 30367 30512 30657 30802 30947
## [16441] 31092 31237 31382 31527 31672 31817 31962 32107 32252 32397 32542 32687
## [16453] 32832 32977 33122 33267 33412 33557 33702 33847 33992 34137 34282 34427
## [16465] 34572 34717 34862 35007 35152 35297 35442 35587 35732 35877 36022 36167
## [16477] 36312 36457 36602 36747 36892 37037 37182 37327 37472 37617 37762 37907
## [16489] 38052 38197 38342 38487    63   208   353   498   643   788   933  1078
## [16501]  1223  1368  1513  1658  1803  1948  2093  2238  2383  2528  2673  2818
## [16513]  2963  3108  3253  3398  3543  3688  3833  3978  4123  4268  4413  4558
## [16525]  4703  4848  4993  5138  5283  5428  5573  5718  5863  6008  6153  6298
## [16537]  6443  6588  6733  6878  7023  7168  7313  7458  7603  7748  7893  8038
## [16549]  8183  8328  8473  8618  8763  8908  9053  9198  9343  9488  9633  9778
## [16561]  9923 10068 10213 10358 10503 10648 10793 10938 11083 11228 11373 11518
## [16573] 11663 11808 11953 12098 12243 12388 12533 12678 12823 12968 13113 13258
## [16585] 13403 13548 13693 13838 13983 14128 14273 14418 14563 14708 14853 14998
## [16597] 15143 15288 15433 15578 15723 15868 16013 16158 16303 16448 16593 16738
## [16609] 16883 17028 17173 17318 17463 17608 17753 17898 18043 18188 18333 18478
## [16621] 18623 18768 18913 19058 19203 19348 19493 19638 19783 19928 20073 20218
## [16633] 20363 20508 20653 20798 20943 21088 21233 21378 21523 21668 21813 21958
## [16645] 22103 22248 22393 22538 22683 22828 22973 23118 23263 23408 23553 23698
## [16657] 23843 23988 24133 24278 24423 24568 24713 24858 25003 25148 25293 25438
## [16669] 25583 25728 25873 26018 26163 26308 26453 26598 26743 26888 27033 27178
## [16681] 27323 27468 27613 27758 27903 28048 28193 28338 28483 28628 28773 28918
## [16693] 29063 29208 29353 29498 29643 29788 29933 30078 30223 30368 30513 30658
## [16705] 30803 30948 31093 31238 31383 31528 31673 31818 31963 32108 32253 32398
## [16717] 32543 32688 32833 32978 33123 33268 33413 33558 33703 33848 33993 34138
## [16729] 34283 34428 34573 34718 34863 35008 35153 35298 35443 35588 35733 35878
## [16741] 36023 36168 36313 36458 36603 36748 36893 37038 37183 37328 37473 37618
## [16753] 37763 37908 38053 38198 38343 38488    64   209   354   499   644   789
## [16765]   934  1079  1224  1369  1514  1659  1804  1949  2094  2239  2384  2529
## [16777]  2674  2819  2964  3109  3254  3399  3544  3689  3834  3979  4124  4269
## [16789]  4414  4559  4704  4849  4994  5139  5284  5429  5574  5719  5864  6009
## [16801]  6154  6299  6444  6589  6734  6879  7024  7169  7314  7459  7604  7749
## [16813]  7894  8039  8184  8329  8474  8619  8764  8909  9054  9199  9344  9489
## [16825]  9634  9779  9924 10069 10214 10359 10504 10649 10794 10939 11084 11229
## [16837] 11374 11519 11664 11809 11954 12099 12244 12389 12534 12679 12824 12969
## [16849] 13114 13259 13404 13549 13694 13839 13984 14129 14274 14419 14564 14709
## [16861] 14854 14999 15144 15289 15434 15579 15724 15869 16014 16159 16304 16449
## [16873] 16594 16739 16884 17029 17174 17319 17464 17609 17754 17899 18044 18189
## [16885] 18334 18479 18624 18769 18914 19059 19204 19349 19494 19639 19784 19929
## [16897] 20074 20219 20364 20509 20654 20799 20944 21089 21234 21379 21524 21669
## [16909] 21814 21959 22104 22249 22394 22539 22684 22829 22974 23119 23264 23409
## [16921] 23554 23699 23844 23989 24134 24279 24424 24569 24714 24859 25004 25149
## [16933] 25294 25439 25584 25729 25874 26019 26164 26309 26454 26599 26744 26889
## [16945] 27034 27179 27324 27469 27614 27759 27904 28049 28194 28339 28484 28629
## [16957] 28774 28919 29064 29209 29354 29499 29644 29789 29934 30079 30224 30369
## [16969] 30514 30659 30804 30949 31094 31239 31384 31529 31674 31819 31964 32109
## [16981] 32254 32399 32544 32689 32834 32979 33124 33269 33414 33559 33704 33849
## [16993] 33994 34139 34284 34429 34574 34719 34864 35009 35154 35299 35444 35589
## [17005] 35734 35879 36024 36169 36314 36459 36604 36749 36894 37039 37184 37329
## [17017] 37474 37619 37764 37909 38054 38199 38344 38489    65   210   355   500
## [17029]   645   790   935  1080  1225  1370  1515  1660  1805  1950  2095  2240
## [17041]  2385  2530  2675  2820  2965  3110  3255  3400  3545  3690  3835  3980
## [17053]  4125  4270  4415  4560  4705  4850  4995  5140  5285  5430  5575  5720
## [17065]  5865  6010  6155  6300  6445  6590  6735  6880  7025  7170  7315  7460
## [17077]  7605  7750  7895  8040  8185  8330  8475  8620  8765  8910  9055  9200
## [17089]  9345  9490  9635  9780  9925 10070 10215 10360 10505 10650 10795 10940
## [17101] 11085 11230 11375 11520 11665 11810 11955 12100 12245 12390 12535 12680
## [17113] 12825 12970 13115 13260 13405 13550 13695 13840 13985 14130 14275 14420
## [17125] 14565 14710 14855 15000 15145 15290 15435 15580 15725 15870 16015 16160
## [17137] 16305 16450 16595 16740 16885 17030 17175 17320 17465 17610 17755 17900
## [17149] 18045 18190 18335 18480 18625 18770 18915 19060 19205 19350 19495 19640
## [17161] 19785 19930 20075 20220 20365 20510 20655 20800 20945 21090 21235 21380
## [17173] 21525 21670 21815 21960 22105 22250 22395 22540 22685 22830 22975 23120
## [17185] 23265 23410 23555 23700 23845 23990 24135 24280 24425 24570 24715 24860
## [17197] 25005 25150 25295 25440 25585 25730 25875 26020 26165 26310 26455 26600
## [17209] 26745 26890 27035 27180 27325 27470 27615 27760 27905 28050 28195 28340
## [17221] 28485 28630 28775 28920 29065 29210 29355 29500 29645 29790 29935 30080
## [17233] 30225 30370 30515 30660 30805 30950 31095 31240 31385 31530 31675 31820
## [17245] 31965 32110 32255 32400 32545 32690 32835 32980 33125 33270 33415 33560
## [17257] 33705 33850 33995 34140 34285 34430 34575 34720 34865 35010 35155 35300
## [17269] 35445 35590 35735 35880 36025 36170 36315 36460 36605 36750 36895 37040
## [17281] 37185 37330 37475 37620 37765 37910 38055 38200 38345 38490    66   211
## [17293]   356   501   646   791   936  1081  1226  1371  1516  1661  1806  1951
## [17305]  2096  2241  2386  2531  2676  2821  2966  3111  3256  3401  3546  3691
## [17317]  3836  3981  4126  4271  4416  4561  4706  4851  4996  5141  5286  5431
## [17329]  5576  5721  5866  6011  6156  6301  6446  6591  6736  6881  7026  7171
## [17341]  7316  7461  7606  7751  7896  8041  8186  8331  8476  8621  8766  8911
## [17353]  9056  9201  9346  9491  9636  9781  9926 10071 10216 10361 10506 10651
## [17365] 10796 10941 11086 11231 11376 11521 11666 11811 11956 12101 12246 12391
## [17377] 12536 12681 12826 12971 13116 13261 13406 13551 13696 13841 13986 14131
## [17389] 14276 14421 14566 14711 14856 15001 15146 15291 15436 15581 15726 15871
## [17401] 16016 16161 16306 16451 16596 16741 16886 17031 17176 17321 17466 17611
## [17413] 17756 17901 18046 18191 18336 18481 18626 18771 18916 19061 19206 19351
## [17425] 19496 19641 19786 19931 20076 20221 20366 20511 20656 20801 20946 21091
## [17437] 21236 21381 21526 21671 21816 21961 22106 22251 22396 22541 22686 22831
## [17449] 22976 23121 23266 23411 23556 23701 23846 23991 24136 24281 24426 24571
## [17461] 24716 24861 25006 25151 25296 25441 25586 25731 25876 26021 26166 26311
## [17473] 26456 26601 26746 26891 27036 27181 27326 27471 27616 27761 27906 28051
## [17485] 28196 28341 28486 28631 28776 28921 29066 29211 29356 29501 29646 29791
## [17497] 29936 30081 30226 30371 30516 30661 30806 30951 31096 31241 31386 31531
## [17509] 31676 31821 31966 32111 32256 32401 32546 32691 32836 32981 33126 33271
## [17521] 33416 33561 33706 33851 33996 34141 34286 34431 34576 34721 34866 35011
## [17533] 35156 35301 35446 35591 35736 35881 36026 36171 36316 36461 36606 36751
## [17545] 36896 37041 37186 37331 37476 37621 37766 37911 38056 38201 38346 38491
## [17557]    67   212   357   502   647   792   937  1082  1227  1372  1517  1662
## [17569]  1807  1952  2097  2242  2387  2532  2677  2822  2967  3112  3257  3402
## [17581]  3547  3692  3837  3982  4127  4272  4417  4562  4707  4852  4997  5142
## [17593]  5287  5432  5577  5722  5867  6012  6157  6302  6447  6592  6737  6882
## [17605]  7027  7172  7317  7462  7607  7752  7897  8042  8187  8332  8477  8622
## [17617]  8767  8912  9057  9202  9347  9492  9637  9782  9927 10072 10217 10362
## [17629] 10507 10652 10797 10942 11087 11232 11377 11522 11667 11812 11957 12102
## [17641] 12247 12392 12537 12682 12827 12972 13117 13262 13407 13552 13697 13842
## [17653] 13987 14132 14277 14422 14567 14712 14857 15002 15147 15292 15437 15582
## [17665] 15727 15872 16017 16162 16307 16452 16597 16742 16887 17032 17177 17322
## [17677] 17467 17612 17757 17902 18047 18192 18337 18482 18627 18772 18917 19062
## [17689] 19207 19352 19497 19642 19787 19932 20077 20222 20367 20512 20657 20802
## [17701] 20947 21092 21237 21382 21527 21672 21817 21962 22107 22252 22397 22542
## [17713] 22687 22832 22977 23122 23267 23412 23557 23702 23847 23992 24137 24282
## [17725] 24427 24572 24717 24862 25007 25152 25297 25442 25587 25732 25877 26022
## [17737] 26167 26312 26457 26602 26747 26892 27037 27182 27327 27472 27617 27762
## [17749] 27907 28052 28197 28342 28487 28632 28777 28922 29067 29212 29357 29502
## [17761] 29647 29792 29937 30082 30227 30372 30517 30662 30807 30952 31097 31242
## [17773] 31387 31532 31677 31822 31967 32112 32257 32402 32547 32692 32837 32982
## [17785] 33127 33272 33417 33562 33707 33852 33997 34142 34287 34432 34577 34722
## [17797] 34867 35012 35157 35302 35447 35592 35737 35882 36027 36172 36317 36462
## [17809] 36607 36752 36897 37042 37187 37332 37477 37622 37767 37912 38057 38202
## [17821] 38347 38492    68   213   358   503   648   793   938  1083  1228  1373
## [17833]  1518  1663  1808  1953  2098  2243  2388  2533  2678  2823  2968  3113
## [17845]  3258  3403  3548  3693  3838  3983  4128  4273  4418  4563  4708  4853
## [17857]  4998  5143  5288  5433  5578  5723  5868  6013  6158  6303  6448  6593
## [17869]  6738  6883  7028  7173  7318  7463  7608  7753  7898  8043  8188  8333
## [17881]  8478  8623  8768  8913  9058  9203  9348  9493  9638  9783  9928 10073
## [17893] 10218 10363 10508 10653 10798 10943 11088 11233 11378 11523 11668 11813
## [17905] 11958 12103 12248 12393 12538 12683 12828 12973 13118 13263 13408 13553
## [17917] 13698 13843 13988 14133 14278 14423 14568 14713 14858 15003 15148 15293
## [17929] 15438 15583 15728 15873 16018 16163 16308 16453 16598 16743 16888 17033
## [17941] 17178 17323 17468 17613 17758 17903 18048 18193 18338 18483 18628 18773
## [17953] 18918 19063 19208 19353 19498 19643 19788 19933 20078 20223 20368 20513
## [17965] 20658 20803 20948 21093 21238 21383 21528 21673 21818 21963 22108 22253
## [17977] 22398 22543 22688 22833 22978 23123 23268 23413 23558 23703 23848 23993
## [17989] 24138 24283 24428 24573 24718 24863 25008 25153 25298 25443 25588 25733
## [18001] 25878 26023 26168 26313 26458 26603 26748 26893 27038 27183 27328 27473
## [18013] 27618 27763 27908 28053 28198 28343 28488 28633 28778 28923 29068 29213
## [18025] 29358 29503 29648 29793 29938 30083 30228 30373 30518 30663 30808 30953
## [18037] 31098 31243 31388 31533 31678 31823 31968 32113 32258 32403 32548 32693
## [18049] 32838 32983 33128 33273 33418 33563 33708 33853 33998 34143 34288 34433
## [18061] 34578 34723 34868 35013 35158 35303 35448 35593 35738 35883 36028 36173
## [18073] 36318 36463 36608 36753 36898 37043 37188 37333 37478 37623 37768 37913
## [18085] 38058 38203 38348 38493    69   214   359   504   649   794   939  1084
## [18097]  1229  1374  1519  1664  1809  1954  2099  2244  2389  2534  2679  2824
## [18109]  2969  3114  3259  3404  3549  3694  3839  3984  4129  4274  4419  4564
## [18121]  4709  4854  4999  5144  5289  5434  5579  5724  5869  6014  6159  6304
## [18133]  6449  6594  6739  6884  7029  7174  7319  7464  7609  7754  7899  8044
## [18145]  8189  8334  8479  8624  8769  8914  9059  9204  9349  9494  9639  9784
## [18157]  9929 10074 10219 10364 10509 10654 10799 10944 11089 11234 11379 11524
## [18169] 11669 11814 11959 12104 12249 12394 12539 12684 12829 12974 13119 13264
## [18181] 13409 13554 13699 13844 13989 14134 14279 14424 14569 14714 14859 15004
## [18193] 15149 15294 15439 15584 15729 15874 16019 16164 16309 16454 16599 16744
## [18205] 16889 17034 17179 17324 17469 17614 17759 17904 18049 18194 18339 18484
## [18217] 18629 18774 18919 19064 19209 19354 19499 19644 19789 19934 20079 20224
## [18229] 20369 20514 20659 20804 20949 21094 21239 21384 21529 21674 21819 21964
## [18241] 22109 22254 22399 22544 22689 22834 22979 23124 23269 23414 23559 23704
## [18253] 23849 23994 24139 24284 24429 24574 24719 24864 25009 25154 25299 25444
## [18265] 25589 25734 25879 26024 26169 26314 26459 26604 26749 26894 27039 27184
## [18277] 27329 27474 27619 27764 27909 28054 28199 28344 28489 28634 28779 28924
## [18289] 29069 29214 29359 29504 29649 29794 29939 30084 30229 30374 30519 30664
## [18301] 30809 30954 31099 31244 31389 31534 31679 31824 31969 32114 32259 32404
## [18313] 32549 32694 32839 32984 33129 33274 33419 33564 33709 33854 33999 34144
## [18325] 34289 34434 34579 34724 34869 35014 35159 35304 35449 35594 35739 35884
## [18337] 36029 36174 36319 36464 36609 36754 36899 37044 37189 37334 37479 37624
## [18349] 37769 37914 38059 38204 38349 38494    70   215   360   505   650   795
## [18361]   940  1085  1230  1375  1520  1665  1810  1955  2100  2245  2390  2535
## [18373]  2680  2825  2970  3115  3260  3405  3550  3695  3840  3985  4130  4275
## [18385]  4420  4565  4710  4855  5000  5145  5290  5435  5580  5725  5870  6015
## [18397]  6160  6305  6450  6595  6740  6885  7030  7175  7320  7465  7610  7755
## [18409]  7900  8045  8190  8335  8480  8625  8770  8915  9060  9205  9350  9495
## [18421]  9640  9785  9930 10075 10220 10365 10510 10655 10800 10945 11090 11235
## [18433] 11380 11525 11670 11815 11960 12105 12250 12395 12540 12685 12830 12975
## [18445] 13120 13265 13410 13555 13700 13845 13990 14135 14280 14425 14570 14715
## [18457] 14860 15005 15150 15295 15440 15585 15730 15875 16020 16165 16310 16455
## [18469] 16600 16745 16890 17035 17180 17325 17470 17615 17760 17905 18050 18195
## [18481] 18340 18485 18630 18775 18920 19065 19210 19355 19500 19645 19790 19935
## [18493] 20080 20225 20370 20515 20660 20805 20950 21095 21240 21385 21530 21675
## [18505] 21820 21965 22110 22255 22400 22545 22690 22835 22980 23125 23270 23415
## [18517] 23560 23705 23850 23995 24140 24285 24430 24575 24720 24865 25010 25155
## [18529] 25300 25445 25590 25735 25880 26025 26170 26315 26460 26605 26750 26895
## [18541] 27040 27185 27330 27475 27620 27765 27910 28055 28200 28345 28490 28635
## [18553] 28780 28925 29070 29215 29360 29505 29650 29795 29940 30085 30230 30375
## [18565] 30520 30665 30810 30955 31100 31245 31390 31535 31680 31825 31970 32115
## [18577] 32260 32405 32550 32695 32840 32985 33130 33275 33420 33565 33710 33855
## [18589] 34000 34145 34290 34435 34580 34725 34870 35015 35160 35305 35450 35595
## [18601] 35740 35885 36030 36175 36320 36465 36610 36755 36900 37045 37190 37335
## [18613] 37480 37625 37770 37915 38060 38205 38350 38495    71   216   361   506
## [18625]   651   796   941  1086  1231  1376  1521  1666  1811  1956  2101  2246
## [18637]  2391  2536  2681  2826  2971  3116  3261  3406  3551  3696  3841  3986
## [18649]  4131  4276  4421  4566  4711  4856  5001  5146  5291  5436  5581  5726
## [18661]  5871  6016  6161  6306  6451  6596  6741  6886  7031  7176  7321  7466
## [18673]  7611  7756  7901  8046  8191  8336  8481  8626  8771  8916  9061  9206
## [18685]  9351  9496  9641  9786  9931 10076 10221 10366 10511 10656 10801 10946
## [18697] 11091 11236 11381 11526 11671 11816 11961 12106 12251 12396 12541 12686
## [18709] 12831 12976 13121 13266 13411 13556 13701 13846 13991 14136 14281 14426
## [18721] 14571 14716 14861 15006 15151 15296 15441 15586 15731 15876 16021 16166
## [18733] 16311 16456 16601 16746 16891 17036 17181 17326 17471 17616 17761 17906
## [18745] 18051 18196 18341 18486 18631 18776 18921 19066 19211 19356 19501 19646
## [18757] 19791 19936 20081 20226 20371 20516 20661 20806 20951 21096 21241 21386
## [18769] 21531 21676 21821 21966 22111 22256 22401 22546 22691 22836 22981 23126
## [18781] 23271 23416 23561 23706 23851 23996 24141 24286 24431 24576 24721 24866
## [18793] 25011 25156 25301 25446 25591 25736 25881 26026 26171 26316 26461 26606
## [18805] 26751 26896 27041 27186 27331 27476 27621 27766 27911 28056 28201 28346
## [18817] 28491 28636 28781 28926 29071 29216 29361 29506 29651 29796 29941 30086
## [18829] 30231 30376 30521 30666 30811 30956 31101 31246 31391 31536 31681 31826
## [18841] 31971 32116 32261 32406 32551 32696 32841 32986 33131 33276 33421 33566
## [18853] 33711 33856 34001 34146 34291 34436 34581 34726 34871 35016 35161 35306
## [18865] 35451 35596 35741 35886 36031 36176 36321 36466 36611 36756 36901 37046
## [18877] 37191 37336 37481 37626 37771 37916 38061 38206 38351 38496    72   217
## [18889]   362   507   652   797   942  1087  1232  1377  1522  1667  1812  1957
## [18901]  2102  2247  2392  2537  2682  2827  2972  3117  3262  3407  3552  3697
## [18913]  3842  3987  4132  4277  4422  4567  4712  4857  5002  5147  5292  5437
## [18925]  5582  5727  5872  6017  6162  6307  6452  6597  6742  6887  7032  7177
## [18937]  7322  7467  7612  7757  7902  8047  8192  8337  8482  8627  8772  8917
## [18949]  9062  9207  9352  9497  9642  9787  9932 10077 10222 10367 10512 10657
## [18961] 10802 10947 11092 11237 11382 11527 11672 11817 11962 12107 12252 12397
## [18973] 12542 12687 12832 12977 13122 13267 13412 13557 13702 13847 13992 14137
## [18985] 14282 14427 14572 14717 14862 15007 15152 15297 15442 15587 15732 15877
## [18997] 16022 16167 16312 16457 16602 16747 16892 17037 17182 17327 17472 17617
## [19009] 17762 17907 18052 18197 18342 18487 18632 18777 18922 19067 19212 19357
## [19021] 19502 19647 19792 19937 20082 20227 20372 20517 20662 20807 20952 21097
## [19033] 21242 21387 21532 21677 21822 21967 22112 22257 22402 22547 22692 22837
## [19045] 22982 23127 23272 23417 23562 23707 23852 23997 24142 24287 24432 24577
## [19057] 24722 24867 25012 25157 25302 25447 25592 25737 25882 26027 26172 26317
## [19069] 26462 26607 26752 26897 27042 27187 27332 27477 27622 27767 27912 28057
## [19081] 28202 28347 28492 28637 28782 28927 29072 29217 29362 29507 29652 29797
## [19093] 29942 30087 30232 30377 30522 30667 30812 30957 31102 31247 31392 31537
## [19105] 31682 31827 31972 32117 32262 32407 32552 32697 32842 32987 33132 33277
## [19117] 33422 33567 33712 33857 34002 34147 34292 34437 34582 34727 34872 35017
## [19129] 35162 35307 35452 35597 35742 35887 36032 36177 36322 36467 36612 36757
## [19141] 36902 37047 37192 37337 37482 37627 37772 37917 38062 38207 38352 38497
## [19153]    73   218   363   508   653   798   943  1088  1233  1378  1523  1668
## [19165]  1813  1958  2103  2248  2393  2538  2683  2828  2973  3118  3263  3408
## [19177]  3553  3698  3843  3988  4133  4278  4423  4568  4713  4858  5003  5148
## [19189]  5293  5438  5583  5728  5873  6018  6163  6308  6453  6598  6743  6888
## [19201]  7033  7178  7323  7468  7613  7758  7903  8048  8193  8338  8483  8628
## [19213]  8773  8918  9063  9208  9353  9498  9643  9788  9933 10078 10223 10368
## [19225] 10513 10658 10803 10948 11093 11238 11383 11528 11673 11818 11963 12108
## [19237] 12253 12398 12543 12688 12833 12978 13123 13268 13413 13558 13703 13848
## [19249] 13993 14138 14283 14428 14573 14718 14863 15008 15153 15298 15443 15588
## [19261] 15733 15878 16023 16168 16313 16458 16603 16748 16893 17038 17183 17328
## [19273] 17473 17618 17763 17908 18053 18198 18343 18488 18633 18778 18923 19068
## [19285] 19213 19358 19503 19648 19793 19938 20083 20228 20373 20518 20663 20808
## [19297] 20953 21098 21243 21388 21533 21678 21823 21968 22113 22258 22403 22548
## [19309] 22693 22838 22983 23128 23273 23418 23563 23708 23853 23998 24143 24288
## [19321] 24433 24578 24723 24868 25013 25158 25303 25448 25593 25738 25883 26028
## [19333] 26173 26318 26463 26608 26753 26898 27043 27188 27333 27478 27623 27768
## [19345] 27913 28058 28203 28348 28493 28638 28783 28928 29073 29218 29363 29508
## [19357] 29653 29798 29943 30088 30233 30378 30523 30668 30813 30958 31103 31248
## [19369] 31393 31538 31683 31828 31973 32118 32263 32408 32553 32698 32843 32988
## [19381] 33133 33278 33423 33568 33713 33858 34003 34148 34293 34438 34583 34728
## [19393] 34873 35018 35163 35308 35453 35598 35743 35888 36033 36178 36323 36468
## [19405] 36613 36758 36903 37048 37193 37338 37483 37628 37773 37918 38063 38208
## [19417] 38353 38498    74   219   364   509   654   799   944  1089  1234  1379
## [19429]  1524  1669  1814  1959  2104  2249  2394  2539  2684  2829  2974  3119
## [19441]  3264  3409  3554  3699  3844  3989  4134  4279  4424  4569  4714  4859
## [19453]  5004  5149  5294  5439  5584  5729  5874  6019  6164  6309  6454  6599
## [19465]  6744  6889  7034  7179  7324  7469  7614  7759  7904  8049  8194  8339
## [19477]  8484  8629  8774  8919  9064  9209  9354  9499  9644  9789  9934 10079
## [19489] 10224 10369 10514 10659 10804 10949 11094 11239 11384 11529 11674 11819
## [19501] 11964 12109 12254 12399 12544 12689 12834 12979 13124 13269 13414 13559
## [19513] 13704 13849 13994 14139 14284 14429 14574 14719 14864 15009 15154 15299
## [19525] 15444 15589 15734 15879 16024 16169 16314 16459 16604 16749 16894 17039
## [19537] 17184 17329 17474 17619 17764 17909 18054 18199 18344 18489 18634 18779
## [19549] 18924 19069 19214 19359 19504 19649 19794 19939 20084 20229 20374 20519
## [19561] 20664 20809 20954 21099 21244 21389 21534 21679 21824 21969 22114 22259
## [19573] 22404 22549 22694 22839 22984 23129 23274 23419 23564 23709 23854 23999
## [19585] 24144 24289 24434 24579 24724 24869 25014 25159 25304 25449 25594 25739
## [19597] 25884 26029 26174 26319 26464 26609 26754 26899 27044 27189 27334 27479
## [19609] 27624 27769 27914 28059 28204 28349 28494 28639 28784 28929 29074 29219
## [19621] 29364 29509 29654 29799 29944 30089 30234 30379 30524 30669 30814 30959
## [19633] 31104 31249 31394 31539 31684 31829 31974 32119 32264 32409 32554 32699
## [19645] 32844 32989 33134 33279 33424 33569 33714 33859 34004 34149 34294 34439
## [19657] 34584 34729 34874 35019 35164 35309 35454 35599 35744 35889 36034 36179
## [19669] 36324 36469 36614 36759 36904 37049 37194 37339 37484 37629 37774 37919
## [19681] 38064 38209 38354 38499    75   220   365   510   655   800   945  1090
## [19693]  1235  1380  1525  1670  1815  1960  2105  2250  2395  2540  2685  2830
## [19705]  2975  3120  3265  3410  3555  3700  3845  3990  4135  4280  4425  4570
## [19717]  4715  4860  5005  5150  5295  5440  5585  5730  5875  6020  6165  6310
## [19729]  6455  6600  6745  6890  7035  7180  7325  7470  7615  7760  7905  8050
## [19741]  8195  8340  8485  8630  8775  8920  9065  9210  9355  9500  9645  9790
## [19753]  9935 10080 10225 10370 10515 10660 10805 10950 11095 11240 11385 11530
## [19765] 11675 11820 11965 12110 12255 12400 12545 12690 12835 12980 13125 13270
## [19777] 13415 13560 13705 13850 13995 14140 14285 14430 14575 14720 14865 15010
## [19789] 15155 15300 15445 15590 15735 15880 16025 16170 16315 16460 16605 16750
## [19801] 16895 17040 17185 17330 17475 17620 17765 17910 18055 18200 18345 18490
## [19813] 18635 18780 18925 19070 19215 19360 19505 19650 19795 19940 20085 20230
## [19825] 20375 20520 20665 20810 20955 21100 21245 21390 21535 21680 21825 21970
## [19837] 22115 22260 22405 22550 22695 22840 22985 23130 23275 23420 23565 23710
## [19849] 23855 24000 24145 24290 24435 24580 24725 24870 25015 25160 25305 25450
## [19861] 25595 25740 25885 26030 26175 26320 26465 26610 26755 26900 27045 27190
## [19873] 27335 27480 27625 27770 27915 28060 28205 28350 28495 28640 28785 28930
## [19885] 29075 29220 29365 29510 29655 29800 29945 30090 30235 30380 30525 30670
## [19897] 30815 30960 31105 31250 31395 31540 31685 31830 31975 32120 32265 32410
## [19909] 32555 32700 32845 32990 33135 33280 33425 33570 33715 33860 34005 34150
## [19921] 34295 34440 34585 34730 34875 35020 35165 35310 35455 35600 35745 35890
## [19933] 36035 36180 36325 36470 36615 36760 36905 37050 37195 37340 37485 37630
## [19945] 37775 37920 38065 38210 38355 38500    76   221   366   511   656   801
## [19957]   946  1091  1236  1381  1526  1671  1816  1961  2106  2251  2396  2541
## [19969]  2686  2831  2976  3121  3266  3411  3556  3701  3846  3991  4136  4281
## [19981]  4426  4571  4716  4861  5006  5151  5296  5441  5586  5731  5876  6021
## [19993]  6166  6311  6456  6601  6746  6891  7036  7181  7326  7471  7616  7761
## [20005]  7906  8051  8196  8341  8486  8631  8776  8921  9066  9211  9356  9501
## [20017]  9646  9791  9936 10081 10226 10371 10516 10661 10806 10951 11096 11241
## [20029] 11386 11531 11676 11821 11966 12111 12256 12401 12546 12691 12836 12981
## [20041] 13126 13271 13416 13561 13706 13851 13996 14141 14286 14431 14576 14721
## [20053] 14866 15011 15156 15301 15446 15591 15736 15881 16026 16171 16316 16461
## [20065] 16606 16751 16896 17041 17186 17331 17476 17621 17766 17911 18056 18201
## [20077] 18346 18491 18636 18781 18926 19071 19216 19361 19506 19651 19796 19941
## [20089] 20086 20231 20376 20521 20666 20811 20956 21101 21246 21391 21536 21681
## [20101] 21826 21971 22116 22261 22406 22551 22696 22841 22986 23131 23276 23421
## [20113] 23566 23711 23856 24001 24146 24291 24436 24581 24726 24871 25016 25161
## [20125] 25306 25451 25596 25741 25886 26031 26176 26321 26466 26611 26756 26901
## [20137] 27046 27191 27336 27481 27626 27771 27916 28061 28206 28351 28496 28641
## [20149] 28786 28931 29076 29221 29366 29511 29656 29801 29946 30091 30236 30381
## [20161] 30526 30671 30816 30961 31106 31251 31396 31541 31686 31831 31976 32121
## [20173] 32266 32411 32556 32701 32846 32991 33136 33281 33426 33571 33716 33861
## [20185] 34006 34151 34296 34441 34586 34731 34876 35021 35166 35311 35456 35601
## [20197] 35746 35891 36036 36181 36326 36471 36616 36761 36906 37051 37196 37341
## [20209] 37486 37631 37776 37921 38066 38211 38356 38501    77   222   367   512
## [20221]   657   802   947  1092  1237  1382  1527  1672  1817  1962  2107  2252
## [20233]  2397  2542  2687  2832  2977  3122  3267  3412  3557  3702  3847  3992
## [20245]  4137  4282  4427  4572  4717  4862  5007  5152  5297  5442  5587  5732
## [20257]  5877  6022  6167  6312  6457  6602  6747  6892  7037  7182  7327  7472
## [20269]  7617  7762  7907  8052  8197  8342  8487  8632  8777  8922  9067  9212
## [20281]  9357  9502  9647  9792  9937 10082 10227 10372 10517 10662 10807 10952
## [20293] 11097 11242 11387 11532 11677 11822 11967 12112 12257 12402 12547 12692
## [20305] 12837 12982 13127 13272 13417 13562 13707 13852 13997 14142 14287 14432
## [20317] 14577 14722 14867 15012 15157 15302 15447 15592 15737 15882 16027 16172
## [20329] 16317 16462 16607 16752 16897 17042 17187 17332 17477 17622 17767 17912
## [20341] 18057 18202 18347 18492 18637 18782 18927 19072 19217 19362 19507 19652
## [20353] 19797 19942 20087 20232 20377 20522 20667 20812 20957 21102 21247 21392
## [20365] 21537 21682 21827 21972 22117 22262 22407 22552 22697 22842 22987 23132
## [20377] 23277 23422 23567 23712 23857 24002 24147 24292 24437 24582 24727 24872
## [20389] 25017 25162 25307 25452 25597 25742 25887 26032 26177 26322 26467 26612
## [20401] 26757 26902 27047 27192 27337 27482 27627 27772 27917 28062 28207 28352
## [20413] 28497 28642 28787 28932 29077 29222 29367 29512 29657 29802 29947 30092
## [20425] 30237 30382 30527 30672 30817 30962 31107 31252 31397 31542 31687 31832
## [20437] 31977 32122 32267 32412 32557 32702 32847 32992 33137 33282 33427 33572
## [20449] 33717 33862 34007 34152 34297 34442 34587 34732 34877 35022 35167 35312
## [20461] 35457 35602 35747 35892 36037 36182 36327 36472 36617 36762 36907 37052
## [20473] 37197 37342 37487 37632 37777 37922 38067 38212 38357 38502    78   223
## [20485]   368   513   658   803   948  1093  1238  1383  1528  1673  1818  1963
## [20497]  2108  2253  2398  2543  2688  2833  2978  3123  3268  3413  3558  3703
## [20509]  3848  3993  4138  4283  4428  4573  4718  4863  5008  5153  5298  5443
## [20521]  5588  5733  5878  6023  6168  6313  6458  6603  6748  6893  7038  7183
## [20533]  7328  7473  7618  7763  7908  8053  8198  8343  8488  8633  8778  8923
## [20545]  9068  9213  9358  9503  9648  9793  9938 10083 10228 10373 10518 10663
## [20557] 10808 10953 11098 11243 11388 11533 11678 11823 11968 12113 12258 12403
## [20569] 12548 12693 12838 12983 13128 13273 13418 13563 13708 13853 13998 14143
## [20581] 14288 14433 14578 14723 14868 15013 15158 15303 15448 15593 15738 15883
## [20593] 16028 16173 16318 16463 16608 16753 16898 17043 17188 17333 17478 17623
## [20605] 17768 17913 18058 18203 18348 18493 18638 18783 18928 19073 19218 19363
## [20617] 19508 19653 19798 19943 20088 20233 20378 20523 20668 20813 20958 21103
## [20629] 21248 21393 21538 21683 21828 21973 22118 22263 22408 22553 22698 22843
## [20641] 22988 23133 23278 23423 23568 23713 23858 24003 24148 24293 24438 24583
## [20653] 24728 24873 25018 25163 25308 25453 25598 25743 25888 26033 26178 26323
## [20665] 26468 26613 26758 26903 27048 27193 27338 27483 27628 27773 27918 28063
## [20677] 28208 28353 28498 28643 28788 28933 29078 29223 29368 29513 29658 29803
## [20689] 29948 30093 30238 30383 30528 30673 30818 30963 31108 31253 31398 31543
## [20701] 31688 31833 31978 32123 32268 32413 32558 32703 32848 32993 33138 33283
## [20713] 33428 33573 33718 33863 34008 34153 34298 34443 34588 34733 34878 35023
## [20725] 35168 35313 35458 35603 35748 35893 36038 36183 36328 36473 36618 36763
## [20737] 36908 37053 37198 37343 37488 37633 37778 37923 38068 38213 38358 38503
## [20749]    79   224   369   514   659   804   949  1094  1239  1384  1529  1674
## [20761]  1819  1964  2109  2254  2399  2544  2689  2834  2979  3124  3269  3414
## [20773]  3559  3704  3849  3994  4139  4284  4429  4574  4719  4864  5009  5154
## [20785]  5299  5444  5589  5734  5879  6024  6169  6314  6459  6604  6749  6894
## [20797]  7039  7184  7329  7474  7619  7764  7909  8054  8199  8344  8489  8634
## [20809]  8779  8924  9069  9214  9359  9504  9649  9794  9939 10084 10229 10374
## [20821] 10519 10664 10809 10954 11099 11244 11389 11534 11679 11824 11969 12114
## [20833] 12259 12404 12549 12694 12839 12984 13129 13274 13419 13564 13709 13854
## [20845] 13999 14144 14289 14434 14579 14724 14869 15014 15159 15304 15449 15594
## [20857] 15739 15884 16029 16174 16319 16464 16609 16754 16899 17044 17189 17334
## [20869] 17479 17624 17769 17914 18059 18204 18349 18494 18639 18784 18929 19074
## [20881] 19219 19364 19509 19654 19799 19944 20089 20234 20379 20524 20669 20814
## [20893] 20959 21104 21249 21394 21539 21684 21829 21974 22119 22264 22409 22554
## [20905] 22699 22844 22989 23134 23279 23424 23569 23714 23859 24004 24149 24294
## [20917] 24439 24584 24729 24874 25019 25164 25309 25454 25599 25744 25889 26034
## [20929] 26179 26324 26469 26614 26759 26904 27049 27194 27339 27484 27629 27774
## [20941] 27919 28064 28209 28354 28499 28644 28789 28934 29079 29224 29369 29514
## [20953] 29659 29804 29949 30094 30239 30384 30529 30674 30819 30964 31109 31254
## [20965] 31399 31544 31689 31834 31979 32124 32269 32414 32559 32704 32849 32994
## [20977] 33139 33284 33429 33574 33719 33864 34009 34154 34299 34444 34589 34734
## [20989] 34879 35024 35169 35314 35459 35604 35749 35894 36039 36184 36329 36474
## [21001] 36619 36764 36909 37054 37199 37344 37489 37634 37779 37924 38069 38214
## [21013] 38359 38504    80   225   370   515   660   805   950  1095  1240  1385
## [21025]  1530  1675  1820  1965  2110  2255  2400  2545  2690  2835  2980  3125
## [21037]  3270  3415  3560  3705  3850  3995  4140  4285  4430  4575  4720  4865
## [21049]  5010  5155  5300  5445  5590  5735  5880  6025  6170  6315  6460  6605
## [21061]  6750  6895  7040  7185  7330  7475  7620  7765  7910  8055  8200  8345
## [21073]  8490  8635  8780  8925  9070  9215  9360  9505  9650  9795  9940 10085
## [21085] 10230 10375 10520 10665 10810 10955 11100 11245 11390 11535 11680 11825
## [21097] 11970 12115 12260 12405 12550 12695 12840 12985 13130 13275 13420 13565
## [21109] 13710 13855 14000 14145 14290 14435 14580 14725 14870 15015 15160 15305
## [21121] 15450 15595 15740 15885 16030 16175 16320 16465 16610 16755 16900 17045
## [21133] 17190 17335 17480 17625 17770 17915 18060 18205 18350 18495 18640 18785
## [21145] 18930 19075 19220 19365 19510 19655 19800 19945 20090 20235 20380 20525
## [21157] 20670 20815 20960 21105 21250 21395 21540 21685 21830 21975 22120 22265
## [21169] 22410 22555 22700 22845 22990 23135 23280 23425 23570 23715 23860 24005
## [21181] 24150 24295 24440 24585 24730 24875 25020 25165 25310 25455 25600 25745
## [21193] 25890 26035 26180 26325 26470 26615 26760 26905 27050 27195 27340 27485
## [21205] 27630 27775 27920 28065 28210 28355 28500 28645 28790 28935 29080 29225
## [21217] 29370 29515 29660 29805 29950 30095 30240 30385 30530 30675 30820 30965
## [21229] 31110 31255 31400 31545 31690 31835 31980 32125 32270 32415 32560 32705
## [21241] 32850 32995 33140 33285 33430 33575 33720 33865 34010 34155 34300 34445
## [21253] 34590 34735 34880 35025 35170 35315 35460 35605 35750 35895 36040 36185
## [21265] 36330 36475 36620 36765 36910 37055 37200 37345 37490 37635 37780 37925
## [21277] 38070 38215 38360 38505    81   226   371   516   661   806   951  1096
## [21289]  1241  1386  1531  1676  1821  1966  2111  2256  2401  2546  2691  2836
## [21301]  2981  3126  3271  3416  3561  3706  3851  3996  4141  4286  4431  4576
## [21313]  4721  4866  5011  5156  5301  5446  5591  5736  5881  6026  6171  6316
## [21325]  6461  6606  6751  6896  7041  7186  7331  7476  7621  7766  7911  8056
## [21337]  8201  8346  8491  8636  8781  8926  9071  9216  9361  9506  9651  9796
## [21349]  9941 10086 10231 10376 10521 10666 10811 10956 11101 11246 11391 11536
## [21361] 11681 11826 11971 12116 12261 12406 12551 12696 12841 12986 13131 13276
## [21373] 13421 13566 13711 13856 14001 14146 14291 14436 14581 14726 14871 15016
## [21385] 15161 15306 15451 15596 15741 15886 16031 16176 16321 16466 16611 16756
## [21397] 16901 17046 17191 17336 17481 17626 17771 17916 18061 18206 18351 18496
## [21409] 18641 18786 18931 19076 19221 19366 19511 19656 19801 19946 20091 20236
## [21421] 20381 20526 20671 20816 20961 21106 21251 21396 21541 21686 21831 21976
## [21433] 22121 22266 22411 22556 22701 22846 22991 23136 23281 23426 23571 23716
## [21445] 23861 24006 24151 24296 24441 24586 24731 24876 25021 25166 25311 25456
## [21457] 25601 25746 25891 26036 26181 26326 26471 26616 26761 26906 27051 27196
## [21469] 27341 27486 27631 27776 27921 28066 28211 28356 28501 28646 28791 28936
## [21481] 29081 29226 29371 29516 29661 29806 29951 30096 30241 30386 30531 30676
## [21493] 30821 30966 31111 31256 31401 31546 31691 31836 31981 32126 32271 32416
## [21505] 32561 32706 32851 32996 33141 33286 33431 33576 33721 33866 34011 34156
## [21517] 34301 34446 34591 34736 34881 35026 35171 35316 35461 35606 35751 35896
## [21529] 36041 36186 36331 36476 36621 36766 36911 37056 37201 37346 37491 37636
## [21541] 37781 37926 38071 38216 38361 38506    82   227   372   517   662   807
## [21553]   952  1097  1242  1387  1532  1677  1822  1967  2112  2257  2402  2547
## [21565]  2692  2837  2982  3127  3272  3417  3562  3707  3852  3997  4142  4287
## [21577]  4432  4577  4722  4867  5012  5157  5302  5447  5592  5737  5882  6027
## [21589]  6172  6317  6462  6607  6752  6897  7042  7187  7332  7477  7622  7767
## [21601]  7912  8057  8202  8347  8492  8637  8782  8927  9072  9217  9362  9507
## [21613]  9652  9797  9942 10087 10232 10377 10522 10667 10812 10957 11102 11247
## [21625] 11392 11537 11682 11827 11972 12117 12262 12407 12552 12697 12842 12987
## [21637] 13132 13277 13422 13567 13712 13857 14002 14147 14292 14437 14582 14727
## [21649] 14872 15017 15162 15307 15452 15597 15742 15887 16032 16177 16322 16467
## [21661] 16612 16757 16902 17047 17192 17337 17482 17627 17772 17917 18062 18207
## [21673] 18352 18497 18642 18787 18932 19077 19222 19367 19512 19657 19802 19947
## [21685] 20092 20237 20382 20527 20672 20817 20962 21107 21252 21397 21542 21687
## [21697] 21832 21977 22122 22267 22412 22557 22702 22847 22992 23137 23282 23427
## [21709] 23572 23717 23862 24007 24152 24297 24442 24587 24732 24877 25022 25167
## [21721] 25312 25457 25602 25747 25892 26037 26182 26327 26472 26617 26762 26907
## [21733] 27052 27197 27342 27487 27632 27777 27922 28067 28212 28357 28502 28647
## [21745] 28792 28937 29082 29227 29372 29517 29662 29807 29952 30097 30242 30387
## [21757] 30532 30677 30822 30967 31112 31257 31402 31547 31692 31837 31982 32127
## [21769] 32272 32417 32562 32707 32852 32997 33142 33287 33432 33577 33722 33867
## [21781] 34012 34157 34302 34447 34592 34737 34882 35027 35172 35317 35462 35607
## [21793] 35752 35897 36042 36187 36332 36477 36622 36767 36912 37057 37202 37347
## [21805] 37492 37637 37782 37927 38072 38217 38362 38507    83   228   373   518
## [21817]   663   808   953  1098  1243  1388  1533  1678  1823  1968  2113  2258
## [21829]  2403  2548  2693  2838  2983  3128  3273  3418  3563  3708  3853  3998
## [21841]  4143  4288  4433  4578  4723  4868  5013  5158  5303  5448  5593  5738
## [21853]  5883  6028  6173  6318  6463  6608  6753  6898  7043  7188  7333  7478
## [21865]  7623  7768  7913  8058  8203  8348  8493  8638  8783  8928  9073  9218
## [21877]  9363  9508  9653  9798  9943 10088 10233 10378 10523 10668 10813 10958
## [21889] 11103 11248 11393 11538 11683 11828 11973 12118 12263 12408 12553 12698
## [21901] 12843 12988 13133 13278 13423 13568 13713 13858 14003 14148 14293 14438
## [21913] 14583 14728 14873 15018 15163 15308 15453 15598 15743 15888 16033 16178
## [21925] 16323 16468 16613 16758 16903 17048 17193 17338 17483 17628 17773 17918
## [21937] 18063 18208 18353 18498 18643 18788 18933 19078 19223 19368 19513 19658
## [21949] 19803 19948 20093 20238 20383 20528 20673 20818 20963 21108 21253 21398
## [21961] 21543 21688 21833 21978 22123 22268 22413 22558 22703 22848 22993 23138
## [21973] 23283 23428 23573 23718 23863 24008 24153 24298 24443 24588 24733 24878
## [21985] 25023 25168 25313 25458 25603 25748 25893 26038 26183 26328 26473 26618
## [21997] 26763 26908 27053 27198 27343 27488 27633 27778 27923 28068 28213 28358
## [22009] 28503 28648 28793 28938 29083 29228 29373 29518 29663 29808 29953 30098
## [22021] 30243 30388 30533 30678 30823 30968 31113 31258 31403 31548 31693 31838
## [22033] 31983 32128 32273 32418 32563 32708 32853 32998 33143 33288 33433 33578
## [22045] 33723 33868 34013 34158 34303 34448 34593 34738 34883 35028 35173 35318
## [22057] 35463 35608 35753 35898 36043 36188 36333 36478 36623 36768 36913 37058
## [22069] 37203 37348 37493 37638 37783 37928 38073 38218 38363 38508    84   229
## [22081]   374   519   664   809   954  1099  1244  1389  1534  1679  1824  1969
## [22093]  2114  2259  2404  2549  2694  2839  2984  3129  3274  3419  3564  3709
## [22105]  3854  3999  4144  4289  4434  4579  4724  4869  5014  5159  5304  5449
## [22117]  5594  5739  5884  6029  6174  6319  6464  6609  6754  6899  7044  7189
## [22129]  7334  7479  7624  7769  7914  8059  8204  8349  8494  8639  8784  8929
## [22141]  9074  9219  9364  9509  9654  9799  9944 10089 10234 10379 10524 10669
## [22153] 10814 10959 11104 11249 11394 11539 11684 11829 11974 12119 12264 12409
## [22165] 12554 12699 12844 12989 13134 13279 13424 13569 13714 13859 14004 14149
## [22177] 14294 14439 14584 14729 14874 15019 15164 15309 15454 15599 15744 15889
## [22189] 16034 16179 16324 16469 16614 16759 16904 17049 17194 17339 17484 17629
## [22201] 17774 17919 18064 18209 18354 18499 18644 18789 18934 19079 19224 19369
## [22213] 19514 19659 19804 19949 20094 20239 20384 20529 20674 20819 20964 21109
## [22225] 21254 21399 21544 21689 21834 21979 22124 22269 22414 22559 22704 22849
## [22237] 22994 23139 23284 23429 23574 23719 23864 24009 24154 24299 24444 24589
## [22249] 24734 24879 25024 25169 25314 25459 25604 25749 25894 26039 26184 26329
## [22261] 26474 26619 26764 26909 27054 27199 27344 27489 27634 27779 27924 28069
## [22273] 28214 28359 28504 28649 28794 28939 29084 29229 29374 29519 29664 29809
## [22285] 29954 30099 30244 30389 30534 30679 30824 30969 31114 31259 31404 31549
## [22297] 31694 31839 31984 32129 32274 32419 32564 32709 32854 32999 33144 33289
## [22309] 33434 33579 33724 33869 34014 34159 34304 34449 34594 34739 34884 35029
## [22321] 35174 35319 35464 35609 35754 35899 36044 36189 36334 36479 36624 36769
## [22333] 36914 37059 37204 37349 37494 37639 37784 37929 38074 38219 38364 38509
## [22345]    85   230   375   520   665   810   955  1100  1245  1390  1535  1680
## [22357]  1825  1970  2115  2260  2405  2550  2695  2840  2985  3130  3275  3420
## [22369]  3565  3710  3855  4000  4145  4290  4435  4580  4725  4870  5015  5160
## [22381]  5305  5450  5595  5740  5885  6030  6175  6320  6465  6610  6755  6900
## [22393]  7045  7190  7335  7480  7625  7770  7915  8060  8205  8350  8495  8640
## [22405]  8785  8930  9075  9220  9365  9510  9655  9800  9945 10090 10235 10380
## [22417] 10525 10670 10815 10960 11105 11250 11395 11540 11685 11830 11975 12120
## [22429] 12265 12410 12555 12700 12845 12990 13135 13280 13425 13570 13715 13860
## [22441] 14005 14150 14295 14440 14585 14730 14875 15020 15165 15310 15455 15600
## [22453] 15745 15890 16035 16180 16325 16470 16615 16760 16905 17050 17195 17340
## [22465] 17485 17630 17775 17920 18065 18210 18355 18500 18645 18790 18935 19080
## [22477] 19225 19370 19515 19660 19805 19950 20095 20240 20385 20530 20675 20820
## [22489] 20965 21110 21255 21400 21545 21690 21835 21980 22125 22270 22415 22560
## [22501] 22705 22850 22995 23140 23285 23430 23575 23720 23865 24010 24155 24300
## [22513] 24445 24590 24735 24880 25025 25170 25315 25460 25605 25750 25895 26040
## [22525] 26185 26330 26475 26620 26765 26910 27055 27200 27345 27490 27635 27780
## [22537] 27925 28070 28215 28360 28505 28650 28795 28940 29085 29230 29375 29520
## [22549] 29665 29810 29955 30100 30245 30390 30535 30680 30825 30970 31115 31260
## [22561] 31405 31550 31695 31840 31985 32130 32275 32420 32565 32710 32855 33000
## [22573] 33145 33290 33435 33580 33725 33870 34015 34160 34305 34450 34595 34740
## [22585] 34885 35030 35175 35320 35465 35610 35755 35900 36045 36190 36335 36480
## [22597] 36625 36770 36915 37060 37205 37350 37495 37640 37785 37930 38075 38220
## [22609] 38365 38510    86   231   376   521   666   811   956  1101  1246  1391
## [22621]  1536  1681  1826  1971  2116  2261  2406  2551  2696  2841  2986  3131
## [22633]  3276  3421  3566  3711  3856  4001  4146  4291  4436  4581  4726  4871
## [22645]  5016  5161  5306  5451  5596  5741  5886  6031  6176  6321  6466  6611
## [22657]  6756  6901  7046  7191  7336  7481  7626  7771  7916  8061  8206  8351
## [22669]  8496  8641  8786  8931  9076  9221  9366  9511  9656  9801  9946 10091
## [22681] 10236 10381 10526 10671 10816 10961 11106 11251 11396 11541 11686 11831
## [22693] 11976 12121 12266 12411 12556 12701 12846 12991 13136 13281 13426 13571
## [22705] 13716 13861 14006 14151 14296 14441 14586 14731 14876 15021 15166 15311
## [22717] 15456 15601 15746 15891 16036 16181 16326 16471 16616 16761 16906 17051
## [22729] 17196 17341 17486 17631 17776 17921 18066 18211 18356 18501 18646 18791
## [22741] 18936 19081 19226 19371 19516 19661 19806 19951 20096 20241 20386 20531
## [22753] 20676 20821 20966 21111 21256 21401 21546 21691 21836 21981 22126 22271
## [22765] 22416 22561 22706 22851 22996 23141 23286 23431 23576 23721 23866 24011
## [22777] 24156 24301 24446 24591 24736 24881 25026 25171 25316 25461 25606 25751
## [22789] 25896 26041 26186 26331 26476 26621 26766 26911 27056 27201 27346 27491
## [22801] 27636 27781 27926 28071 28216 28361 28506 28651 28796 28941 29086 29231
## [22813] 29376 29521 29666 29811 29956 30101 30246 30391 30536 30681 30826 30971
## [22825] 31116 31261 31406 31551 31696 31841 31986 32131 32276 32421 32566 32711
## [22837] 32856 33001 33146 33291 33436 33581 33726 33871 34016 34161 34306 34451
## [22849] 34596 34741 34886 35031 35176 35321 35466 35611 35756 35901 36046 36191
## [22861] 36336 36481 36626 36771 36916 37061 37206 37351 37496 37641 37786 37931
## [22873] 38076 38221 38366 38511    87   232   377   522   667   812   957  1102
## [22885]  1247  1392  1537  1682  1827  1972  2117  2262  2407  2552  2697  2842
## [22897]  2987  3132  3277  3422  3567  3712  3857  4002  4147  4292  4437  4582
## [22909]  4727  4872  5017  5162  5307  5452  5597  5742  5887  6032  6177  6322
## [22921]  6467  6612  6757  6902  7047  7192  7337  7482  7627  7772  7917  8062
## [22933]  8207  8352  8497  8642  8787  8932  9077  9222  9367  9512  9657  9802
## [22945]  9947 10092 10237 10382 10527 10672 10817 10962 11107 11252 11397 11542
## [22957] 11687 11832 11977 12122 12267 12412 12557 12702 12847 12992 13137 13282
## [22969] 13427 13572 13717 13862 14007 14152 14297 14442 14587 14732 14877 15022
## [22981] 15167 15312 15457 15602 15747 15892 16037 16182 16327 16472 16617 16762
## [22993] 16907 17052 17197 17342 17487 17632 17777 17922 18067 18212 18357 18502
## [23005] 18647 18792 18937 19082 19227 19372 19517 19662 19807 19952 20097 20242
## [23017] 20387 20532 20677 20822 20967 21112 21257 21402 21547 21692 21837 21982
## [23029] 22127 22272 22417 22562 22707 22852 22997 23142 23287 23432 23577 23722
## [23041] 23867 24012 24157 24302 24447 24592 24737 24882 25027 25172 25317 25462
## [23053] 25607 25752 25897 26042 26187 26332 26477 26622 26767 26912 27057 27202
## [23065] 27347 27492 27637 27782 27927 28072 28217 28362 28507 28652 28797 28942
## [23077] 29087 29232 29377 29522 29667 29812 29957 30102 30247 30392 30537 30682
## [23089] 30827 30972 31117 31262 31407 31552 31697 31842 31987 32132 32277 32422
## [23101] 32567 32712 32857 33002 33147 33292 33437 33582 33727 33872 34017 34162
## [23113] 34307 34452 34597 34742 34887 35032 35177 35322 35467 35612 35757 35902
## [23125] 36047 36192 36337 36482 36627 36772 36917 37062 37207 37352 37497 37642
## [23137] 37787 37932 38077 38222 38367 38512    88   233   378   523   668   813
## [23149]   958  1103  1248  1393  1538  1683  1828  1973  2118  2263  2408  2553
## [23161]  2698  2843  2988  3133  3278  3423  3568  3713  3858  4003  4148  4293
## [23173]  4438  4583  4728  4873  5018  5163  5308  5453  5598  5743  5888  6033
## [23185]  6178  6323  6468  6613  6758  6903  7048  7193  7338  7483  7628  7773
## [23197]  7918  8063  8208  8353  8498  8643  8788  8933  9078  9223  9368  9513
## [23209]  9658  9803  9948 10093 10238 10383 10528 10673 10818 10963 11108 11253
## [23221] 11398 11543 11688 11833 11978 12123 12268 12413 12558 12703 12848 12993
## [23233] 13138 13283 13428 13573 13718 13863 14008 14153 14298 14443 14588 14733
## [23245] 14878 15023 15168 15313 15458 15603 15748 15893 16038 16183 16328 16473
## [23257] 16618 16763 16908 17053 17198 17343 17488 17633 17778 17923 18068 18213
## [23269] 18358 18503 18648 18793 18938 19083 19228 19373 19518 19663 19808 19953
## [23281] 20098 20243 20388 20533 20678 20823 20968 21113 21258 21403 21548 21693
## [23293] 21838 21983 22128 22273 22418 22563 22708 22853 22998 23143 23288 23433
## [23305] 23578 23723 23868 24013 24158 24303 24448 24593 24738 24883 25028 25173
## [23317] 25318 25463 25608 25753 25898 26043 26188 26333 26478 26623 26768 26913
## [23329] 27058 27203 27348 27493 27638 27783 27928 28073 28218 28363 28508 28653
## [23341] 28798 28943 29088 29233 29378 29523 29668 29813 29958 30103 30248 30393
## [23353] 30538 30683 30828 30973 31118 31263 31408 31553 31698 31843 31988 32133
## [23365] 32278 32423 32568 32713 32858 33003 33148 33293 33438 33583 33728 33873
## [23377] 34018 34163 34308 34453 34598 34743 34888 35033 35178 35323 35468 35613
## [23389] 35758 35903 36048 36193 36338 36483 36628 36773 36918 37063 37208 37353
## [23401] 37498 37643 37788 37933 38078 38223 38368 38513    89   234   379   524
## [23413]   669   814   959  1104  1249  1394  1539  1684  1829  1974  2119  2264
## [23425]  2409  2554  2699  2844  2989  3134  3279  3424  3569  3714  3859  4004
## [23437]  4149  4294  4439  4584  4729  4874  5019  5164  5309  5454  5599  5744
## [23449]  5889  6034  6179  6324  6469  6614  6759  6904  7049  7194  7339  7484
## [23461]  7629  7774  7919  8064  8209  8354  8499  8644  8789  8934  9079  9224
## [23473]  9369  9514  9659  9804  9949 10094 10239 10384 10529 10674 10819 10964
## [23485] 11109 11254 11399 11544 11689 11834 11979 12124 12269 12414 12559 12704
## [23497] 12849 12994 13139 13284 13429 13574 13719 13864 14009 14154 14299 14444
## [23509] 14589 14734 14879 15024 15169 15314 15459 15604 15749 15894 16039 16184
## [23521] 16329 16474 16619 16764 16909 17054 17199 17344 17489 17634 17779 17924
## [23533] 18069 18214 18359 18504 18649 18794 18939 19084 19229 19374 19519 19664
## [23545] 19809 19954 20099 20244 20389 20534 20679 20824 20969 21114 21259 21404
## [23557] 21549 21694 21839 21984 22129 22274 22419 22564 22709 22854 22999 23144
## [23569] 23289 23434 23579 23724 23869 24014 24159 24304 24449 24594 24739 24884
## [23581] 25029 25174 25319 25464 25609 25754 25899 26044 26189 26334 26479 26624
## [23593] 26769 26914 27059 27204 27349 27494 27639 27784 27929 28074 28219 28364
## [23605] 28509 28654 28799 28944 29089 29234 29379 29524 29669 29814 29959 30104
## [23617] 30249 30394 30539 30684 30829 30974 31119 31264 31409 31554 31699 31844
## [23629] 31989 32134 32279 32424 32569 32714 32859 33004 33149 33294 33439 33584
## [23641] 33729 33874 34019 34164 34309 34454 34599 34744 34889 35034 35179 35324
## [23653] 35469 35614 35759 35904 36049 36194 36339 36484 36629 36774 36919 37064
## [23665] 37209 37354 37499 37644 37789 37934 38079 38224 38369 38514    90   235
## [23677]   380   525   670   815   960  1105  1250  1395  1540  1685  1830  1975
## [23689]  2120  2265  2410  2555  2700  2845  2990  3135  3280  3425  3570  3715
## [23701]  3860  4005  4150  4295  4440  4585  4730  4875  5020  5165  5310  5455
## [23713]  5600  5745  5890  6035  6180  6325  6470  6615  6760  6905  7050  7195
## [23725]  7340  7485  7630  7775  7920  8065  8210  8355  8500  8645  8790  8935
## [23737]  9080  9225  9370  9515  9660  9805  9950 10095 10240 10385 10530 10675
## [23749] 10820 10965 11110 11255 11400 11545 11690 11835 11980 12125 12270 12415
## [23761] 12560 12705 12850 12995 13140 13285 13430 13575 13720 13865 14010 14155
## [23773] 14300 14445 14590 14735 14880 15025 15170 15315 15460 15605 15750 15895
## [23785] 16040 16185 16330 16475 16620 16765 16910 17055 17200 17345 17490 17635
## [23797] 17780 17925 18070 18215 18360 18505 18650 18795 18940 19085 19230 19375
## [23809] 19520 19665 19810 19955 20100 20245 20390 20535 20680 20825 20970 21115
## [23821] 21260 21405 21550 21695 21840 21985 22130 22275 22420 22565 22710 22855
## [23833] 23000 23145 23290 23435 23580 23725 23870 24015 24160 24305 24450 24595
## [23845] 24740 24885 25030 25175 25320 25465 25610 25755 25900 26045 26190 26335
## [23857] 26480 26625 26770 26915 27060 27205 27350 27495 27640 27785 27930 28075
## [23869] 28220 28365 28510 28655 28800 28945 29090 29235 29380 29525 29670 29815
## [23881] 29960 30105 30250 30395 30540 30685 30830 30975 31120 31265 31410 31555
## [23893] 31700 31845 31990 32135 32280 32425 32570 32715 32860 33005 33150 33295
## [23905] 33440 33585 33730 33875 34020 34165 34310 34455 34600 34745 34890 35035
## [23917] 35180 35325 35470 35615 35760 35905 36050 36195 36340 36485 36630 36775
## [23929] 36920 37065 37210 37355 37500 37645 37790 37935 38080 38225 38370 38515
## [23941]    91   236   381   526   671   816   961  1106  1251  1396  1541  1686
## [23953]  1831  1976  2121  2266  2411  2556  2701  2846  2991  3136  3281  3426
## [23965]  3571  3716  3861  4006  4151  4296  4441  4586  4731  4876  5021  5166
## [23977]  5311  5456  5601  5746  5891  6036  6181  6326  6471  6616  6761  6906
## [23989]  7051  7196  7341  7486  7631  7776  7921  8066  8211  8356  8501  8646
## [24001]  8791  8936  9081  9226  9371  9516  9661  9806  9951 10096 10241 10386
## [24013] 10531 10676 10821 10966 11111 11256 11401 11546 11691 11836 11981 12126
## [24025] 12271 12416 12561 12706 12851 12996 13141 13286 13431 13576 13721 13866
## [24037] 14011 14156 14301 14446 14591 14736 14881 15026 15171 15316 15461 15606
## [24049] 15751 15896 16041 16186 16331 16476 16621 16766 16911 17056 17201 17346
## [24061] 17491 17636 17781 17926 18071 18216 18361 18506 18651 18796 18941 19086
## [24073] 19231 19376 19521 19666 19811 19956 20101 20246 20391 20536 20681 20826
## [24085] 20971 21116 21261 21406 21551 21696 21841 21986 22131 22276 22421 22566
## [24097] 22711 22856 23001 23146 23291 23436 23581 23726 23871 24016 24161 24306
## [24109] 24451 24596 24741 24886 25031 25176 25321 25466 25611 25756 25901 26046
## [24121] 26191 26336 26481 26626 26771 26916 27061 27206 27351 27496 27641 27786
## [24133] 27931 28076 28221 28366 28511 28656 28801 28946 29091 29236 29381 29526
## [24145] 29671 29816 29961 30106 30251 30396 30541 30686 30831 30976 31121 31266
## [24157] 31411 31556 31701 31846 31991 32136 32281 32426 32571 32716 32861 33006
## [24169] 33151 33296 33441 33586 33731 33876 34021 34166 34311 34456 34601 34746
## [24181] 34891 35036 35181 35326 35471 35616 35761 35906 36051 36196 36341 36486
## [24193] 36631 36776 36921 37066 37211 37356 37501 37646 37791 37936 38081 38226
## [24205] 38371 38516    92   237   382   527   672   817   962  1107  1252  1397
## [24217]  1542  1687  1832  1977  2122  2267  2412  2557  2702  2847  2992  3137
## [24229]  3282  3427  3572  3717  3862  4007  4152  4297  4442  4587  4732  4877
## [24241]  5022  5167  5312  5457  5602  5747  5892  6037  6182  6327  6472  6617
## [24253]  6762  6907  7052  7197  7342  7487  7632  7777  7922  8067  8212  8357
## [24265]  8502  8647  8792  8937  9082  9227  9372  9517  9662  9807  9952 10097
## [24277] 10242 10387 10532 10677 10822 10967 11112 11257 11402 11547 11692 11837
## [24289] 11982 12127 12272 12417 12562 12707 12852 12997 13142 13287 13432 13577
## [24301] 13722 13867 14012 14157 14302 14447 14592 14737 14882 15027 15172 15317
## [24313] 15462 15607 15752 15897 16042 16187 16332 16477 16622 16767 16912 17057
## [24325] 17202 17347 17492 17637 17782 17927 18072 18217 18362 18507 18652 18797
## [24337] 18942 19087 19232 19377 19522 19667 19812 19957 20102 20247 20392 20537
## [24349] 20682 20827 20972 21117 21262 21407 21552 21697 21842 21987 22132 22277
## [24361] 22422 22567 22712 22857 23002 23147 23292 23437 23582 23727 23872 24017
## [24373] 24162 24307 24452 24597 24742 24887 25032 25177 25322 25467 25612 25757
## [24385] 25902 26047 26192 26337 26482 26627 26772 26917 27062 27207 27352 27497
## [24397] 27642 27787 27932 28077 28222 28367 28512 28657 28802 28947 29092 29237
## [24409] 29382 29527 29672 29817 29962 30107 30252 30397 30542 30687 30832 30977
## [24421] 31122 31267 31412 31557 31702 31847 31992 32137 32282 32427 32572 32717
## [24433] 32862 33007 33152 33297 33442 33587 33732 33877 34022 34167 34312 34457
## [24445] 34602 34747 34892 35037 35182 35327 35472 35617 35762 35907 36052 36197
## [24457] 36342 36487 36632 36777 36922 37067 37212 37357 37502 37647 37792 37937
## [24469] 38082 38227 38372 38517    93   238   383   528   673   818   963  1108
## [24481]  1253  1398  1543  1688  1833  1978  2123  2268  2413  2558  2703  2848
## [24493]  2993  3138  3283  3428  3573  3718  3863  4008  4153  4298  4443  4588
## [24505]  4733  4878  5023  5168  5313  5458  5603  5748  5893  6038  6183  6328
## [24517]  6473  6618  6763  6908  7053  7198  7343  7488  7633  7778  7923  8068
## [24529]  8213  8358  8503  8648  8793  8938  9083  9228  9373  9518  9663  9808
## [24541]  9953 10098 10243 10388 10533 10678 10823 10968 11113 11258 11403 11548
## [24553] 11693 11838 11983 12128 12273 12418 12563 12708 12853 12998 13143 13288
## [24565] 13433 13578 13723 13868 14013 14158 14303 14448 14593 14738 14883 15028
## [24577] 15173 15318 15463 15608 15753 15898 16043 16188 16333 16478 16623 16768
## [24589] 16913 17058 17203 17348 17493 17638 17783 17928 18073 18218 18363 18508
## [24601] 18653 18798 18943 19088 19233 19378 19523 19668 19813 19958 20103 20248
## [24613] 20393 20538 20683 20828 20973 21118 21263 21408 21553 21698 21843 21988
## [24625] 22133 22278 22423 22568 22713 22858 23003 23148 23293 23438 23583 23728
## [24637] 23873 24018 24163 24308 24453 24598 24743 24888 25033 25178 25323 25468
## [24649] 25613 25758 25903 26048 26193 26338 26483 26628 26773 26918 27063 27208
## [24661] 27353 27498 27643 27788 27933 28078 28223 28368 28513 28658 28803 28948
## [24673] 29093 29238 29383 29528 29673 29818 29963 30108 30253 30398 30543 30688
## [24685] 30833 30978 31123 31268 31413 31558 31703 31848 31993 32138 32283 32428
## [24697] 32573 32718 32863 33008 33153 33298 33443 33588 33733 33878 34023 34168
## [24709] 34313 34458 34603 34748 34893 35038 35183 35328 35473 35618 35763 35908
## [24721] 36053 36198 36343 36488 36633 36778 36923 37068 37213 37358 37503 37648
## [24733] 37793 37938 38083 38228 38373 38518    94   239   384   529   674   819
## [24745]   964  1109  1254  1399  1544  1689  1834  1979  2124  2269  2414  2559
## [24757]  2704  2849  2994  3139  3284  3429  3574  3719  3864  4009  4154  4299
## [24769]  4444  4589  4734  4879  5024  5169  5314  5459  5604  5749  5894  6039
## [24781]  6184  6329  6474  6619  6764  6909  7054  7199  7344  7489  7634  7779
## [24793]  7924  8069  8214  8359  8504  8649  8794  8939  9084  9229  9374  9519
## [24805]  9664  9809  9954 10099 10244 10389 10534 10679 10824 10969 11114 11259
## [24817] 11404 11549 11694 11839 11984 12129 12274 12419 12564 12709 12854 12999
## [24829] 13144 13289 13434 13579 13724 13869 14014 14159 14304 14449 14594 14739
## [24841] 14884 15029 15174 15319 15464 15609 15754 15899 16044 16189 16334 16479
## [24853] 16624 16769 16914 17059 17204 17349 17494 17639 17784 17929 18074 18219
## [24865] 18364 18509 18654 18799 18944 19089 19234 19379 19524 19669 19814 19959
## [24877] 20104 20249 20394 20539 20684 20829 20974 21119 21264 21409 21554 21699
## [24889] 21844 21989 22134 22279 22424 22569 22714 22859 23004 23149 23294 23439
## [24901] 23584 23729 23874 24019 24164 24309 24454 24599 24744 24889 25034 25179
## [24913] 25324 25469 25614 25759 25904 26049 26194 26339 26484 26629 26774 26919
## [24925] 27064 27209 27354 27499 27644 27789 27934 28079 28224 28369 28514 28659
## [24937] 28804 28949 29094 29239 29384 29529 29674 29819 29964 30109 30254 30399
## [24949] 30544 30689 30834 30979 31124 31269 31414 31559 31704 31849 31994 32139
## [24961] 32284 32429 32574 32719 32864 33009 33154 33299 33444 33589 33734 33879
## [24973] 34024 34169 34314 34459 34604 34749 34894 35039 35184 35329 35474 35619
## [24985] 35764 35909 36054 36199 36344 36489 36634 36779 36924 37069 37214 37359
## [24997] 37504 37649 37794 37939 38084 38229 38374 38519    95   240   385   530
## [25009]   675   820   965  1110  1255  1400  1545  1690  1835  1980  2125  2270
## [25021]  2415  2560  2705  2850  2995  3140  3285  3430  3575  3720  3865  4010
## [25033]  4155  4300  4445  4590  4735  4880  5025  5170  5315  5460  5605  5750
## [25045]  5895  6040  6185  6330  6475  6620  6765  6910  7055  7200  7345  7490
## [25057]  7635  7780  7925  8070  8215  8360  8505  8650  8795  8940  9085  9230
## [25069]  9375  9520  9665  9810  9955 10100 10245 10390 10535 10680 10825 10970
## [25081] 11115 11260 11405 11550 11695 11840 11985 12130 12275 12420 12565 12710
## [25093] 12855 13000 13145 13290 13435 13580 13725 13870 14015 14160 14305 14450
## [25105] 14595 14740 14885 15030 15175 15320 15465 15610 15755 15900 16045 16190
## [25117] 16335 16480 16625 16770 16915 17060 17205 17350 17495 17640 17785 17930
## [25129] 18075 18220 18365 18510 18655 18800 18945 19090 19235 19380 19525 19670
## [25141] 19815 19960 20105 20250 20395 20540 20685 20830 20975 21120 21265 21410
## [25153] 21555 21700 21845 21990 22135 22280 22425 22570 22715 22860 23005 23150
## [25165] 23295 23440 23585 23730 23875 24020 24165 24310 24455 24600 24745 24890
## [25177] 25035 25180 25325 25470 25615 25760 25905 26050 26195 26340 26485 26630
## [25189] 26775 26920 27065 27210 27355 27500 27645 27790 27935 28080 28225 28370
## [25201] 28515 28660 28805 28950 29095 29240 29385 29530 29675 29820 29965 30110
## [25213] 30255 30400 30545 30690 30835 30980 31125 31270 31415 31560 31705 31850
## [25225] 31995 32140 32285 32430 32575 32720 32865 33010 33155 33300 33445 33590
## [25237] 33735 33880 34025 34170 34315 34460 34605 34750 34895 35040 35185 35330
## [25249] 35475 35620 35765 35910 36055 36200 36345 36490 36635 36780 36925 37070
## [25261] 37215 37360 37505 37650 37795 37940 38085 38230 38375 38520    96   241
## [25273]   386   531   676   821   966  1111  1256  1401  1546  1691  1836  1981
## [25285]  2126  2271  2416  2561  2706  2851  2996  3141  3286  3431  3576  3721
## [25297]  3866  4011  4156  4301  4446  4591  4736  4881  5026  5171  5316  5461
## [25309]  5606  5751  5896  6041  6186  6331  6476  6621  6766  6911  7056  7201
## [25321]  7346  7491  7636  7781  7926  8071  8216  8361  8506  8651  8796  8941
## [25333]  9086  9231  9376  9521  9666  9811  9956 10101 10246 10391 10536 10681
## [25345] 10826 10971 11116 11261 11406 11551 11696 11841 11986 12131 12276 12421
## [25357] 12566 12711 12856 13001 13146 13291 13436 13581 13726 13871 14016 14161
## [25369] 14306 14451 14596 14741 14886 15031 15176 15321 15466 15611 15756 15901
## [25381] 16046 16191 16336 16481 16626 16771 16916 17061 17206 17351 17496 17641
## [25393] 17786 17931 18076 18221 18366 18511 18656 18801 18946 19091 19236 19381
## [25405] 19526 19671 19816 19961 20106 20251 20396 20541 20686 20831 20976 21121
## [25417] 21266 21411 21556 21701 21846 21991 22136 22281 22426 22571 22716 22861
## [25429] 23006 23151 23296 23441 23586 23731 23876 24021 24166 24311 24456 24601
## [25441] 24746 24891 25036 25181 25326 25471 25616 25761 25906 26051 26196 26341
## [25453] 26486 26631 26776 26921 27066 27211 27356 27501 27646 27791 27936 28081
## [25465] 28226 28371 28516 28661 28806 28951 29096 29241 29386 29531 29676 29821
## [25477] 29966 30111 30256 30401 30546 30691 30836 30981 31126 31271 31416 31561
## [25489] 31706 31851 31996 32141 32286 32431 32576 32721 32866 33011 33156 33301
## [25501] 33446 33591 33736 33881 34026 34171 34316 34461 34606 34751 34896 35041
## [25513] 35186 35331 35476 35621 35766 35911 36056 36201 36346 36491 36636 36781
## [25525] 36926 37071 37216 37361 37506 37651 37796 37941 38086 38231 38376 38521
## [25537]    97   242   387   532   677   822   967  1112  1257  1402  1547  1692
## [25549]  1837  1982  2127  2272  2417  2562  2707  2852  2997  3142  3287  3432
## [25561]  3577  3722  3867  4012  4157  4302  4447  4592  4737  4882  5027  5172
## [25573]  5317  5462  5607  5752  5897  6042  6187  6332  6477  6622  6767  6912
## [25585]  7057  7202  7347  7492  7637  7782  7927  8072  8217  8362  8507  8652
## [25597]  8797  8942  9087  9232  9377  9522  9667  9812  9957 10102 10247 10392
## [25609] 10537 10682 10827 10972 11117 11262 11407 11552 11697 11842 11987 12132
## [25621] 12277 12422 12567 12712 12857 13002 13147 13292 13437 13582 13727 13872
## [25633] 14017 14162 14307 14452 14597 14742 14887 15032 15177 15322 15467 15612
## [25645] 15757 15902 16047 16192 16337 16482 16627 16772 16917 17062 17207 17352
## [25657] 17497 17642 17787 17932 18077 18222 18367 18512 18657 18802 18947 19092
## [25669] 19237 19382 19527 19672 19817 19962 20107 20252 20397 20542 20687 20832
## [25681] 20977 21122 21267 21412 21557 21702 21847 21992 22137 22282 22427 22572
## [25693] 22717 22862 23007 23152 23297 23442 23587 23732 23877 24022 24167 24312
## [25705] 24457 24602 24747 24892 25037 25182 25327 25472 25617 25762 25907 26052
## [25717] 26197 26342 26487 26632 26777 26922 27067 27212 27357 27502 27647 27792
## [25729] 27937 28082 28227 28372 28517 28662 28807 28952 29097 29242 29387 29532
## [25741] 29677 29822 29967 30112 30257 30402 30547 30692 30837 30982 31127 31272
## [25753] 31417 31562 31707 31852 31997 32142 32287 32432 32577 32722 32867 33012
## [25765] 33157 33302 33447 33592 33737 33882 34027 34172 34317 34462 34607 34752
## [25777] 34897 35042 35187 35332 35477 35622 35767 35912 36057 36202 36347 36492
## [25789] 36637 36782 36927 37072 37217 37362 37507 37652 37797 37942 38087 38232
## [25801] 38377 38522    98   243   388   533   678   823   968  1113  1258  1403
## [25813]  1548  1693  1838  1983  2128  2273  2418  2563  2708  2853  2998  3143
## [25825]  3288  3433  3578  3723  3868  4013  4158  4303  4448  4593  4738  4883
## [25837]  5028  5173  5318  5463  5608  5753  5898  6043  6188  6333  6478  6623
## [25849]  6768  6913  7058  7203  7348  7493  7638  7783  7928  8073  8218  8363
## [25861]  8508  8653  8798  8943  9088  9233  9378  9523  9668  9813  9958 10103
## [25873] 10248 10393 10538 10683 10828 10973 11118 11263 11408 11553 11698 11843
## [25885] 11988 12133 12278 12423 12568 12713 12858 13003 13148 13293 13438 13583
## [25897] 13728 13873 14018 14163 14308 14453 14598 14743 14888 15033 15178 15323
## [25909] 15468 15613 15758 15903 16048 16193 16338 16483 16628 16773 16918 17063
## [25921] 17208 17353 17498 17643 17788 17933 18078 18223 18368 18513 18658 18803
## [25933] 18948 19093 19238 19383 19528 19673 19818 19963 20108 20253 20398 20543
## [25945] 20688 20833 20978 21123 21268 21413 21558 21703 21848 21993 22138 22283
## [25957] 22428 22573 22718 22863 23008 23153 23298 23443 23588 23733 23878 24023
## [25969] 24168 24313 24458 24603 24748 24893 25038 25183 25328 25473 25618 25763
## [25981] 25908 26053 26198 26343 26488 26633 26778 26923 27068 27213 27358 27503
## [25993] 27648 27793 27938 28083 28228 28373 28518 28663 28808 28953 29098 29243
## [26005] 29388 29533 29678 29823 29968 30113 30258 30403 30548 30693 30838 30983
## [26017] 31128 31273 31418 31563 31708 31853 31998 32143 32288 32433 32578 32723
## [26029] 32868 33013 33158 33303 33448 33593 33738 33883 34028 34173 34318 34463
## [26041] 34608 34753 34898 35043 35188 35333 35478 35623 35768 35913 36058 36203
## [26053] 36348 36493 36638 36783 36928 37073 37218 37363 37508 37653 37798 37943
## [26065] 38088 38233 38378 38523    99   244   389   534   679   824   969  1114
## [26077]  1259  1404  1549  1694  1839  1984  2129  2274  2419  2564  2709  2854
## [26089]  2999  3144  3289  3434  3579  3724  3869  4014  4159  4304  4449  4594
## [26101]  4739  4884  5029  5174  5319  5464  5609  5754  5899  6044  6189  6334
## [26113]  6479  6624  6769  6914  7059  7204  7349  7494  7639  7784  7929  8074
## [26125]  8219  8364  8509  8654  8799  8944  9089  9234  9379  9524  9669  9814
## [26137]  9959 10104 10249 10394 10539 10684 10829 10974 11119 11264 11409 11554
## [26149] 11699 11844 11989 12134 12279 12424 12569 12714 12859 13004 13149 13294
## [26161] 13439 13584 13729 13874 14019 14164 14309 14454 14599 14744 14889 15034
## [26173] 15179 15324 15469 15614 15759 15904 16049 16194 16339 16484 16629 16774
## [26185] 16919 17064 17209 17354 17499 17644 17789 17934 18079 18224 18369 18514
## [26197] 18659 18804 18949 19094 19239 19384 19529 19674 19819 19964 20109 20254
## [26209] 20399 20544 20689 20834 20979 21124 21269 21414 21559 21704 21849 21994
## [26221] 22139 22284 22429 22574 22719 22864 23009 23154 23299 23444 23589 23734
## [26233] 23879 24024 24169 24314 24459 24604 24749 24894 25039 25184 25329 25474
## [26245] 25619 25764 25909 26054 26199 26344 26489 26634 26779 26924 27069 27214
## [26257] 27359 27504 27649 27794 27939 28084 28229 28374 28519 28664 28809 28954
## [26269] 29099 29244 29389 29534 29679 29824 29969 30114 30259 30404 30549 30694
## [26281] 30839 30984 31129 31274 31419 31564 31709 31854 31999 32144 32289 32434
## [26293] 32579 32724 32869 33014 33159 33304 33449 33594 33739 33884 34029 34174
## [26305] 34319 34464 34609 34754 34899 35044 35189 35334 35479 35624 35769 35914
## [26317] 36059 36204 36349 36494 36639 36784 36929 37074 37219 37364 37509 37654
## [26329] 37799 37944 38089 38234 38379 38524   100   245   390   535   680   825
## [26341]   970  1115  1260  1405  1550  1695  1840  1985  2130  2275  2420  2565
## [26353]  2710  2855  3000  3145  3290  3435  3580  3725  3870  4015  4160  4305
## [26365]  4450  4595  4740  4885  5030  5175  5320  5465  5610  5755  5900  6045
## [26377]  6190  6335  6480  6625  6770  6915  7060  7205  7350  7495  7640  7785
## [26389]  7930  8075  8220  8365  8510  8655  8800  8945  9090  9235  9380  9525
## [26401]  9670  9815  9960 10105 10250 10395 10540 10685 10830 10975 11120 11265
## [26413] 11410 11555 11700 11845 11990 12135 12280 12425 12570 12715 12860 13005
## [26425] 13150 13295 13440 13585 13730 13875 14020 14165 14310 14455 14600 14745
## [26437] 14890 15035 15180 15325 15470 15615 15760 15905 16050 16195 16340 16485
## [26449] 16630 16775 16920 17065 17210 17355 17500 17645 17790 17935 18080 18225
## [26461] 18370 18515 18660 18805 18950 19095 19240 19385 19530 19675 19820 19965
## [26473] 20110 20255 20400 20545 20690 20835 20980 21125 21270 21415 21560 21705
## [26485] 21850 21995 22140 22285 22430 22575 22720 22865 23010 23155 23300 23445
## [26497] 23590 23735 23880 24025 24170 24315 24460 24605 24750 24895 25040 25185
## [26509] 25330 25475 25620 25765 25910 26055 26200 26345 26490 26635 26780 26925
## [26521] 27070 27215 27360 27505 27650 27795 27940 28085 28230 28375 28520 28665
## [26533] 28810 28955 29100 29245 29390 29535 29680 29825 29970 30115 30260 30405
## [26545] 30550 30695 30840 30985 31130 31275 31420 31565 31710 31855 32000 32145
## [26557] 32290 32435 32580 32725 32870 33015 33160 33305 33450 33595 33740 33885
## [26569] 34030 34175 34320 34465 34610 34755 34900 35045 35190 35335 35480 35625
## [26581] 35770 35915 36060 36205 36350 36495 36640 36785 36930 37075 37220 37365
## [26593] 37510 37655 37800 37945 38090 38235 38380 38525   101   246   391   536
## [26605]   681   826   971  1116  1261  1406  1551  1696  1841  1986  2131  2276
## [26617]  2421  2566  2711  2856  3001  3146  3291  3436  3581  3726  3871  4016
## [26629]  4161  4306  4451  4596  4741  4886  5031  5176  5321  5466  5611  5756
## [26641]  5901  6046  6191  6336  6481  6626  6771  6916  7061  7206  7351  7496
## [26653]  7641  7786  7931  8076  8221  8366  8511  8656  8801  8946  9091  9236
## [26665]  9381  9526  9671  9816  9961 10106 10251 10396 10541 10686 10831 10976
## [26677] 11121 11266 11411 11556 11701 11846 11991 12136 12281 12426 12571 12716
## [26689] 12861 13006 13151 13296 13441 13586 13731 13876 14021 14166 14311 14456
## [26701] 14601 14746 14891 15036 15181 15326 15471 15616 15761 15906 16051 16196
## [26713] 16341 16486 16631 16776 16921 17066 17211 17356 17501 17646 17791 17936
## [26725] 18081 18226 18371 18516 18661 18806 18951 19096 19241 19386 19531 19676
## [26737] 19821 19966 20111 20256 20401 20546 20691 20836 20981 21126 21271 21416
## [26749] 21561 21706 21851 21996 22141 22286 22431 22576 22721 22866 23011 23156
## [26761] 23301 23446 23591 23736 23881 24026 24171 24316 24461 24606 24751 24896
## [26773] 25041 25186 25331 25476 25621 25766 25911 26056 26201 26346 26491 26636
## [26785] 26781 26926 27071 27216 27361 27506 27651 27796 27941 28086 28231 28376
## [26797] 28521 28666 28811 28956 29101 29246 29391 29536 29681 29826 29971 30116
## [26809] 30261 30406 30551 30696 30841 30986 31131 31276 31421 31566 31711 31856
## [26821] 32001 32146 32291 32436 32581 32726 32871 33016 33161 33306 33451 33596
## [26833] 33741 33886 34031 34176 34321 34466 34611 34756 34901 35046 35191 35336
## [26845] 35481 35626 35771 35916 36061 36206 36351 36496 36641 36786 36931 37076
## [26857] 37221 37366 37511 37656 37801 37946 38091 38236 38381 38526   102   247
## [26869]   392   537   682   827   972  1117  1262  1407  1552  1697  1842  1987
## [26881]  2132  2277  2422  2567  2712  2857  3002  3147  3292  3437  3582  3727
## [26893]  3872  4017  4162  4307  4452  4597  4742  4887  5032  5177  5322  5467
## [26905]  5612  5757  5902  6047  6192  6337  6482  6627  6772  6917  7062  7207
## [26917]  7352  7497  7642  7787  7932  8077  8222  8367  8512  8657  8802  8947
## [26929]  9092  9237  9382  9527  9672  9817  9962 10107 10252 10397 10542 10687
## [26941] 10832 10977 11122 11267 11412 11557 11702 11847 11992 12137 12282 12427
## [26953] 12572 12717 12862 13007 13152 13297 13442 13587 13732 13877 14022 14167
## [26965] 14312 14457 14602 14747 14892 15037 15182 15327 15472 15617 15762 15907
## [26977] 16052 16197 16342 16487 16632 16777 16922 17067 17212 17357 17502 17647
## [26989] 17792 17937 18082 18227 18372 18517 18662 18807 18952 19097 19242 19387
## [27001] 19532 19677 19822 19967 20112 20257 20402 20547 20692 20837 20982 21127
## [27013] 21272 21417 21562 21707 21852 21997 22142 22287 22432 22577 22722 22867
## [27025] 23012 23157 23302 23447 23592 23737 23882 24027 24172 24317 24462 24607
## [27037] 24752 24897 25042 25187 25332 25477 25622 25767 25912 26057 26202 26347
## [27049] 26492 26637 26782 26927 27072 27217 27362 27507 27652 27797 27942 28087
## [27061] 28232 28377 28522 28667 28812 28957 29102 29247 29392 29537 29682 29827
## [27073] 29972 30117 30262 30407 30552 30697 30842 30987 31132 31277 31422 31567
## [27085] 31712 31857 32002 32147 32292 32437 32582 32727 32872 33017 33162 33307
## [27097] 33452 33597 33742 33887 34032 34177 34322 34467 34612 34757 34902 35047
## [27109] 35192 35337 35482 35627 35772 35917 36062 36207 36352 36497 36642 36787
## [27121] 36932 37077 37222 37367 37512 37657 37802 37947 38092 38237 38382 38527
## [27133]   103   248   393   538   683   828   973  1118  1263  1408  1553  1698
## [27145]  1843  1988  2133  2278  2423  2568  2713  2858  3003  3148  3293  3438
## [27157]  3583  3728  3873  4018  4163  4308  4453  4598  4743  4888  5033  5178
## [27169]  5323  5468  5613  5758  5903  6048  6193  6338  6483  6628  6773  6918
## [27181]  7063  7208  7353  7498  7643  7788  7933  8078  8223  8368  8513  8658
## [27193]  8803  8948  9093  9238  9383  9528  9673  9818  9963 10108 10253 10398
## [27205] 10543 10688 10833 10978 11123 11268 11413 11558 11703 11848 11993 12138
## [27217] 12283 12428 12573 12718 12863 13008 13153 13298 13443 13588 13733 13878
## [27229] 14023 14168 14313 14458 14603 14748 14893 15038 15183 15328 15473 15618
## [27241] 15763 15908 16053 16198 16343 16488 16633 16778 16923 17068 17213 17358
## [27253] 17503 17648 17793 17938 18083 18228 18373 18518 18663 18808 18953 19098
## [27265] 19243 19388 19533 19678 19823 19968 20113 20258 20403 20548 20693 20838
## [27277] 20983 21128 21273 21418 21563 21708 21853 21998 22143 22288 22433 22578
## [27289] 22723 22868 23013 23158 23303 23448 23593 23738 23883 24028 24173 24318
## [27301] 24463 24608 24753 24898 25043 25188 25333 25478 25623 25768 25913 26058
## [27313] 26203 26348 26493 26638 26783 26928 27073 27218 27363 27508 27653 27798
## [27325] 27943 28088 28233 28378 28523 28668 28813 28958 29103 29248 29393 29538
## [27337] 29683 29828 29973 30118 30263 30408 30553 30698 30843 30988 31133 31278
## [27349] 31423 31568 31713 31858 32003 32148 32293 32438 32583 32728 32873 33018
## [27361] 33163 33308 33453 33598 33743 33888 34033 34178 34323 34468 34613 34758
## [27373] 34903 35048 35193 35338 35483 35628 35773 35918 36063 36208 36353 36498
## [27385] 36643 36788 36933 37078 37223 37368 37513 37658 37803 37948 38093 38238
## [27397] 38383 38528   104   249   394   539   684   829   974  1119  1264  1409
## [27409]  1554  1699  1844  1989  2134  2279  2424  2569  2714  2859  3004  3149
## [27421]  3294  3439  3584  3729  3874  4019  4164  4309  4454  4599  4744  4889
## [27433]  5034  5179  5324  5469  5614  5759  5904  6049  6194  6339  6484  6629
## [27445]  6774  6919  7064  7209  7354  7499  7644  7789  7934  8079  8224  8369
## [27457]  8514  8659  8804  8949  9094  9239  9384  9529  9674  9819  9964 10109
## [27469] 10254 10399 10544 10689 10834 10979 11124 11269 11414 11559 11704 11849
## [27481] 11994 12139 12284 12429 12574 12719 12864 13009 13154 13299 13444 13589
## [27493] 13734 13879 14024 14169 14314 14459 14604 14749 14894 15039 15184 15329
## [27505] 15474 15619 15764 15909 16054 16199 16344 16489 16634 16779 16924 17069
## [27517] 17214 17359 17504 17649 17794 17939 18084 18229 18374 18519 18664 18809
## [27529] 18954 19099 19244 19389 19534 19679 19824 19969 20114 20259 20404 20549
## [27541] 20694 20839 20984 21129 21274 21419 21564 21709 21854 21999 22144 22289
## [27553] 22434 22579 22724 22869 23014 23159 23304 23449 23594 23739 23884 24029
## [27565] 24174 24319 24464 24609 24754 24899 25044 25189 25334 25479 25624 25769
## [27577] 25914 26059 26204 26349 26494 26639 26784 26929 27074 27219 27364 27509
## [27589] 27654 27799 27944 28089 28234 28379 28524 28669 28814 28959 29104 29249
## [27601] 29394 29539 29684 29829 29974 30119 30264 30409 30554 30699 30844 30989
## [27613] 31134 31279 31424 31569 31714 31859 32004 32149 32294 32439 32584 32729
## [27625] 32874 33019 33164 33309 33454 33599 33744 33889 34034 34179 34324 34469
## [27637] 34614 34759 34904 35049 35194 35339 35484 35629 35774 35919 36064 36209
## [27649] 36354 36499 36644 36789 36934 37079 37224 37369 37514 37659 37804 37949
## [27661] 38094 38239 38384 38529   105   250   395   540   685   830   975  1120
## [27673]  1265  1410  1555  1700  1845  1990  2135  2280  2425  2570  2715  2860
## [27685]  3005  3150  3295  3440  3585  3730  3875  4020  4165  4310  4455  4600
## [27697]  4745  4890  5035  5180  5325  5470  5615  5760  5905  6050  6195  6340
## [27709]  6485  6630  6775  6920  7065  7210  7355  7500  7645  7790  7935  8080
## [27721]  8225  8370  8515  8660  8805  8950  9095  9240  9385  9530  9675  9820
## [27733]  9965 10110 10255 10400 10545 10690 10835 10980 11125 11270 11415 11560
## [27745] 11705 11850 11995 12140 12285 12430 12575 12720 12865 13010 13155 13300
## [27757] 13445 13590 13735 13880 14025 14170 14315 14460 14605 14750 14895 15040
## [27769] 15185 15330 15475 15620 15765 15910 16055 16200 16345 16490 16635 16780
## [27781] 16925 17070 17215 17360 17505 17650 17795 17940 18085 18230 18375 18520
## [27793] 18665 18810 18955 19100 19245 19390 19535 19680 19825 19970 20115 20260
## [27805] 20405 20550 20695 20840 20985 21130 21275 21420 21565 21710 21855 22000
## [27817] 22145 22290 22435 22580 22725 22870 23015 23160 23305 23450 23595 23740
## [27829] 23885 24030 24175 24320 24465 24610 24755 24900 25045 25190 25335 25480
## [27841] 25625 25770 25915 26060 26205 26350 26495 26640 26785 26930 27075 27220
## [27853] 27365 27510 27655 27800 27945 28090 28235 28380 28525 28670 28815 28960
## [27865] 29105 29250 29395 29540 29685 29830 29975 30120 30265 30410 30555 30700
## [27877] 30845 30990 31135 31280 31425 31570 31715 31860 32005 32150 32295 32440
## [27889] 32585 32730 32875 33020 33165 33310 33455 33600 33745 33890 34035 34180
## [27901] 34325 34470 34615 34760 34905 35050 35195 35340 35485 35630 35775 35920
## [27913] 36065 36210 36355 36500 36645 36790 36935 37080 37225 37370 37515 37660
## [27925] 37805 37950 38095 38240 38385 38530   106   251   396   541   686   831
## [27937]   976  1121  1266  1411  1556  1701  1846  1991  2136  2281  2426  2571
## [27949]  2716  2861  3006  3151  3296  3441  3586  3731  3876  4021  4166  4311
## [27961]  4456  4601  4746  4891  5036  5181  5326  5471  5616  5761  5906  6051
## [27973]  6196  6341  6486  6631  6776  6921  7066  7211  7356  7501  7646  7791
## [27985]  7936  8081  8226  8371  8516  8661  8806  8951  9096  9241  9386  9531
## [27997]  9676  9821  9966 10111 10256 10401 10546 10691 10836 10981 11126 11271
## [28009] 11416 11561 11706 11851 11996 12141 12286 12431 12576 12721 12866 13011
## [28021] 13156 13301 13446 13591 13736 13881 14026 14171 14316 14461 14606 14751
## [28033] 14896 15041 15186 15331 15476 15621 15766 15911 16056 16201 16346 16491
## [28045] 16636 16781 16926 17071 17216 17361 17506 17651 17796 17941 18086 18231
## [28057] 18376 18521 18666 18811 18956 19101 19246 19391 19536 19681 19826 19971
## [28069] 20116 20261 20406 20551 20696 20841 20986 21131 21276 21421 21566 21711
## [28081] 21856 22001 22146 22291 22436 22581 22726 22871 23016 23161 23306 23451
## [28093] 23596 23741 23886 24031 24176 24321 24466 24611 24756 24901 25046 25191
## [28105] 25336 25481 25626 25771 25916 26061 26206 26351 26496 26641 26786 26931
## [28117] 27076 27221 27366 27511 27656 27801 27946 28091 28236 28381 28526 28671
## [28129] 28816 28961 29106 29251 29396 29541 29686 29831 29976 30121 30266 30411
## [28141] 30556 30701 30846 30991 31136 31281 31426 31571 31716 31861 32006 32151
## [28153] 32296 32441 32586 32731 32876 33021 33166 33311 33456 33601 33746 33891
## [28165] 34036 34181 34326 34471 34616 34761 34906 35051 35196 35341 35486 35631
## [28177] 35776 35921 36066 36211 36356 36501 36646 36791 36936 37081 37226 37371
## [28189] 37516 37661 37806 37951 38096 38241 38386 38531   107   252   397   542
## [28201]   687   832   977  1122  1267  1412  1557  1702  1847  1992  2137  2282
## [28213]  2427  2572  2717  2862  3007  3152  3297  3442  3587  3732  3877  4022
## [28225]  4167  4312  4457  4602  4747  4892  5037  5182  5327  5472  5617  5762
## [28237]  5907  6052  6197  6342  6487  6632  6777  6922  7067  7212  7357  7502
## [28249]  7647  7792  7937  8082  8227  8372  8517  8662  8807  8952  9097  9242
## [28261]  9387  9532  9677  9822  9967 10112 10257 10402 10547 10692 10837 10982
## [28273] 11127 11272 11417 11562 11707 11852 11997 12142 12287 12432 12577 12722
## [28285] 12867 13012 13157 13302 13447 13592 13737 13882 14027 14172 14317 14462
## [28297] 14607 14752 14897 15042 15187 15332 15477 15622 15767 15912 16057 16202
## [28309] 16347 16492 16637 16782 16927 17072 17217 17362 17507 17652 17797 17942
## [28321] 18087 18232 18377 18522 18667 18812 18957 19102 19247 19392 19537 19682
## [28333] 19827 19972 20117 20262 20407 20552 20697 20842 20987 21132 21277 21422
## [28345] 21567 21712 21857 22002 22147 22292 22437 22582 22727 22872 23017 23162
## [28357] 23307 23452 23597 23742 23887 24032 24177 24322 24467 24612 24757 24902
## [28369] 25047 25192 25337 25482 25627 25772 25917 26062 26207 26352 26497 26642
## [28381] 26787 26932 27077 27222 27367 27512 27657 27802 27947 28092 28237 28382
## [28393] 28527 28672 28817 28962 29107 29252 29397 29542 29687 29832 29977 30122
## [28405] 30267 30412 30557 30702 30847 30992 31137 31282 31427 31572 31717 31862
## [28417] 32007 32152 32297 32442 32587 32732 32877 33022 33167 33312 33457 33602
## [28429] 33747 33892 34037 34182 34327 34472 34617 34762 34907 35052 35197 35342
## [28441] 35487 35632 35777 35922 36067 36212 36357 36502 36647 36792 36937 37082
## [28453] 37227 37372 37517 37662 37807 37952 38097 38242 38387 38532   108   253
## [28465]   398   543   688   833   978  1123  1268  1413  1558  1703  1848  1993
## [28477]  2138  2283  2428  2573  2718  2863  3008  3153  3298  3443  3588  3733
## [28489]  3878  4023  4168  4313  4458  4603  4748  4893  5038  5183  5328  5473
## [28501]  5618  5763  5908  6053  6198  6343  6488  6633  6778  6923  7068  7213
## [28513]  7358  7503  7648  7793  7938  8083  8228  8373  8518  8663  8808  8953
## [28525]  9098  9243  9388  9533  9678  9823  9968 10113 10258 10403 10548 10693
## [28537] 10838 10983 11128 11273 11418 11563 11708 11853 11998 12143 12288 12433
## [28549] 12578 12723 12868 13013 13158 13303 13448 13593 13738 13883 14028 14173
## [28561] 14318 14463 14608 14753 14898 15043 15188 15333 15478 15623 15768 15913
## [28573] 16058 16203 16348 16493 16638 16783 16928 17073 17218 17363 17508 17653
## [28585] 17798 17943 18088 18233 18378 18523 18668 18813 18958 19103 19248 19393
## [28597] 19538 19683 19828 19973 20118 20263 20408 20553 20698 20843 20988 21133
## [28609] 21278 21423 21568 21713 21858 22003 22148 22293 22438 22583 22728 22873
## [28621] 23018 23163 23308 23453 23598 23743 23888 24033 24178 24323 24468 24613
## [28633] 24758 24903 25048 25193 25338 25483 25628 25773 25918 26063 26208 26353
## [28645] 26498 26643 26788 26933 27078 27223 27368 27513 27658 27803 27948 28093
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## [28729]   109   254   399   544   689   834   979  1124  1269  1414  1559  1704
## [28741]  1849  1994  2139  2284  2429  2574  2719  2864  3009  3154  3299  3444
## [28753]  3589  3734  3879  4024  4169  4314  4459  4604  4749  4894  5039  5184
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## [29521] 37811 37956 38101 38246 38391 38536   112   257   402   547   692   837
## [29533]   982  1127  1272  1417  1562  1707  1852  1997  2142  2287  2432  2577
## [29545]  2722  2867  3012  3157  3302  3447  3592  3737  3882  4027  4172  4317
## [29557]  4462  4607  4752  4897  5042  5187  5332  5477  5622  5767  5912  6057
## [29569]  6202  6347  6492  6637  6782  6927  7072  7217  7362  7507  7652  7797
## [29581]  7942  8087  8232  8377  8522  8667  8812  8957  9102  9247  9392  9537
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## [29713] 27082 27227 27372 27517 27662 27807 27952 28097 28242 28387 28532 28677
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## [29749] 32302 32447 32592 32737 32882 33027 33172 33317 33462 33607 33752 33897
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## [29773] 35782 35927 36072 36217 36362 36507 36652 36797 36942 37087 37232 37377
## [29785] 37522 37667 37812 37957 38102 38247 38392 38537   113   258   403   548
## [29797]   693   838   983  1128  1273  1418  1563  1708  1853  1998  2143  2288
## [29809]  2433  2578  2723  2868  3013  3158  3303  3448  3593  3738  3883  4028
## [29821]  4173  4318  4463  4608  4753  4898  5043  5188  5333  5478  5623  5768
## [29833]  5913  6058  6203  6348  6493  6638  6783  6928  7073  7218  7363  7508
## [29845]  7653  7798  7943  8088  8233  8378  8523  8668  8813  8958  9103  9248
## [29857]  9393  9538  9683  9828  9973 10118 10263 10408 10553 10698 10843 10988
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## [29917] 18093 18238 18383 18528 18673 18818 18963 19108 19253 19398 19543 19688
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## [29941] 21573 21718 21863 22008 22153 22298 22443 22588 22733 22878 23023 23168
## [29953] 23313 23458 23603 23748 23893 24038 24183 24328 24473 24618 24763 24908
## [29965] 25053 25198 25343 25488 25633 25778 25923 26068 26213 26358 26503 26648
## [29977] 26793 26938 27083 27228 27373 27518 27663 27808 27953 28098 28243 28388
## [29989] 28533 28678 28823 28968 29113 29258 29403 29548 29693 29838 29983 30128
## [30001] 30273 30418 30563 30708 30853 30998 31143 31288 31433 31578 31723 31868
## [30013] 32013 32158 32303 32448 32593 32738 32883 33028 33173 33318 33463 33608
## [30025] 33753 33898 34043 34188 34333 34478 34623 34768 34913 35058 35203 35348
## [30037] 35493 35638 35783 35928 36073 36218 36363 36508 36653 36798 36943 37088
## [30049] 37233 37378 37523 37668 37813 37958 38103 38248 38393 38538   114   259
## [30061]   404   549   694   839   984  1129  1274  1419  1564  1709  1854  1999
## [30073]  2144  2289  2434  2579  2724  2869  3014  3159  3304  3449  3594  3739
## [30085]  3884  4029  4174  4319  4464  4609  4754  4899  5044  5189  5334  5479
## [30097]  5624  5769  5914  6059  6204  6349  6494  6639  6784  6929  7074  7219
## [30109]  7364  7509  7654  7799  7944  8089  8234  8379  8524  8669  8814  8959
## [30121]  9104  9249  9394  9539  9684  9829  9974 10119 10264 10409 10554 10699
## [30133] 10844 10989 11134 11279 11424 11569 11714 11859 12004 12149 12294 12439
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## [30169] 16064 16209 16354 16499 16644 16789 16934 17079 17224 17369 17514 17659
## [30181] 17804 17949 18094 18239 18384 18529 18674 18819 18964 19109 19254 19399
## [30193] 19544 19689 19834 19979 20124 20269 20414 20559 20704 20849 20994 21139
## [30205] 21284 21429 21574 21719 21864 22009 22154 22299 22444 22589 22734 22879
## [30217] 23024 23169 23314 23459 23604 23749 23894 24039 24184 24329 24474 24619
## [30229] 24764 24909 25054 25199 25344 25489 25634 25779 25924 26069 26214 26359
## [30241] 26504 26649 26794 26939 27084 27229 27374 27519 27664 27809 27954 28099
## [30253] 28244 28389 28534 28679 28824 28969 29114 29259 29404 29549 29694 29839
## [30265] 29984 30129 30274 30419 30564 30709 30854 30999 31144 31289 31434 31579
## [30277] 31724 31869 32014 32159 32304 32449 32594 32739 32884 33029 33174 33319
## [30289] 33464 33609 33754 33899 34044 34189 34334 34479 34624 34769 34914 35059
## [30301] 35204 35349 35494 35639 35784 35929 36074 36219 36364 36509 36654 36799
## [30313] 36944 37089 37234 37379 37524 37669 37814 37959 38104 38249 38394 38539
## [30325]   115   260   405   550   695   840   985  1130  1275  1420  1565  1710
## [30337]  1855  2000  2145  2290  2435  2580  2725  2870  3015  3160  3305  3450
## [30349]  3595  3740  3885  4030  4175  4320  4465  4610  4755  4900  5045  5190
## [30361]  5335  5480  5625  5770  5915  6060  6205  6350  6495  6640  6785  6930
## [30373]  7075  7220  7365  7510  7655  7800  7945  8090  8235  8380  8525  8670
## [30385]  8815  8960  9105  9250  9395  9540  9685  9830  9975 10120 10265 10410
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## [30565] 34915 35060 35205 35350 35495 35640 35785 35930 36075 36220 36365 36510
## [30577] 36655 36800 36945 37090 37235 37380 37525 37670 37815 37960 38105 38250
## [30589] 38395 38540   116   261   406   551   696   841   986  1131  1276  1421
## [30601]  1566  1711  1856  2001  2146  2291  2436  2581  2726  2871  3016  3161
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## [30625]  5046  5191  5336  5481  5626  5771  5916  6061  6206  6351  6496  6641
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## [30865]  1277  1422  1567  1712  1857  2002  2147  2292  2437  2582  2727  2872
## [30877]  3017  3162  3307  3452  3597  3742  3887  4032  4177  4322  4467  4612
## [30889]  4757  4902  5047  5192  5337  5482  5627  5772  5917  6062  6207  6352
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## [30913]  8237  8382  8527  8672  8817  8962  9107  9252  9397  9542  9687  9832
## [30925]  9977 10122 10267 10412 10557 10702 10847 10992 11137 11282 11427 11572
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## [31129]   988  1133  1278  1423  1568  1713  1858  2003  2148  2293  2438  2583
## [31141]  2728  2873  3018  3163  3308  3453  3598  3743  3888  4033  4178  4323
## [31153]  4468  4613  4758  4903  5048  5193  5338  5483  5628  5773  5918  6063
## [31165]  6208  6353  6498  6643  6788  6933  7078  7223  7368  7513  7658  7803
## [31177]  7948  8093  8238  8383  8528  8673  8818  8963  9108  9253  9398  9543
## [31189]  9688  9833  9978 10123 10268 10413 10558 10703 10848 10993 11138 11283
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## [31225] 14908 15053 15198 15343 15488 15633 15778 15923 16068 16213 16358 16503
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## [31309] 27088 27233 27378 27523 27668 27813 27958 28103 28248 28393 28538 28683
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## [31345] 32308 32453 32598 32743 32888 33033 33178 33323 33468 33613 33758 33903
## [31357] 34048 34193 34338 34483 34628 34773 34918 35063 35208 35353 35498 35643
## [31369] 35788 35933 36078 36223 36368 36513 36658 36803 36948 37093 37238 37383
## [31381] 37528 37673 37818 37963 38108 38253 38398 38543   119   264   409   554
## [31393]   699   844   989  1134  1279  1424  1569  1714  1859  2004  2149  2294
## [31405]  2439  2584  2729  2874  3019  3164  3309  3454  3599  3744  3889  4034
## [31417]  4179  4324  4469  4614  4759  4904  5049  5194  5339  5484  5629  5774
## [31429]  5919  6064  6209  6354  6499  6644  6789  6934  7079  7224  7369  7514
## [31441]  7659  7804  7949  8094  8239  8384  8529  8674  8819  8964  9109  9254
## [31453]  9399  9544  9689  9834  9979 10124 10269 10414 10559 10704 10849 10994
## [31465] 11139 11284 11429 11574 11719 11864 12009 12154 12299 12444 12589 12734
## [31477] 12879 13024 13169 13314 13459 13604 13749 13894 14039 14184 14329 14474
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## [31513] 18099 18244 18389 18534 18679 18824 18969 19114 19259 19404 19549 19694
## [31525] 19839 19984 20129 20274 20419 20564 20709 20854 20999 21144 21289 21434
## [31537] 21579 21724 21869 22014 22159 22304 22449 22594 22739 22884 23029 23174
## [31549] 23319 23464 23609 23754 23899 24044 24189 24334 24479 24624 24769 24914
## [31561] 25059 25204 25349 25494 25639 25784 25929 26074 26219 26364 26509 26654
## [31573] 26799 26944 27089 27234 27379 27524 27669 27814 27959 28104 28249 28394
## [31585] 28539 28684 28829 28974 29119 29264 29409 29554 29699 29844 29989 30134
## [31597] 30279 30424 30569 30714 30859 31004 31149 31294 31439 31584 31729 31874
## [31609] 32019 32164 32309 32454 32599 32744 32889 33034 33179 33324 33469 33614
## [31621] 33759 33904 34049 34194 34339 34484 34629 34774 34919 35064 35209 35354
## [31633] 35499 35644 35789 35934 36079 36224 36369 36514 36659 36804 36949 37094
## [31645] 37239 37384 37529 37674 37819 37964 38109 38254 38399 38544   120   265
## [31657]   410   555   700   845   990  1135  1280  1425  1570  1715  1860  2005
## [31669]  2150  2295  2440  2585  2730  2875  3020  3165  3310  3455  3600  3745
## [31681]  3890  4035  4180  4325  4470  4615  4760  4905  5050  5195  5340  5485
## [31693]  5630  5775  5920  6065  6210  6355  6500  6645  6790  6935  7080  7225
## [31705]  7370  7515  7660  7805  7950  8095  8240  8385  8530  8675  8820  8965
## [31717]  9110  9255  9400  9545  9690  9835  9980 10125 10270 10415 10560 10705
## [31729] 10850 10995 11140 11285 11430 11575 11720 11865 12010 12155 12300 12445
## [31741] 12590 12735 12880 13025 13170 13315 13460 13605 13750 13895 14040 14185
## [31753] 14330 14475 14620 14765 14910 15055 15200 15345 15490 15635 15780 15925
## [31765] 16070 16215 16360 16505 16650 16795 16940 17085 17230 17375 17520 17665
## [31777] 17810 17955 18100 18245 18390 18535 18680 18825 18970 19115 19260 19405
## [31789] 19550 19695 19840 19985 20130 20275 20420 20565 20710 20855 21000 21145
## [31801] 21290 21435 21580 21725 21870 22015 22160 22305 22450 22595 22740 22885
## [31813] 23030 23175 23320 23465 23610 23755 23900 24045 24190 24335 24480 24625
## [31825] 24770 24915 25060 25205 25350 25495 25640 25785 25930 26075 26220 26365
## [31837] 26510 26655 26800 26945 27090 27235 27380 27525 27670 27815 27960 28105
## [31849] 28250 28395 28540 28685 28830 28975 29120 29265 29410 29555 29700 29845
## [31861] 29990 30135 30280 30425 30570 30715 30860 31005 31150 31295 31440 31585
## [31873] 31730 31875 32020 32165 32310 32455 32600 32745 32890 33035 33180 33325
## [31885] 33470 33615 33760 33905 34050 34195 34340 34485 34630 34775 34920 35065
## [31897] 35210 35355 35500 35645 35790 35935 36080 36225 36370 36515 36660 36805
## [31909] 36950 37095 37240 37385 37530 37675 37820 37965 38110 38255 38400 38545
## [31921]   121   266   411   556   701   846   991  1136  1281  1426  1571  1716
## [31933]  1861  2006  2151  2296  2441  2586  2731  2876  3021  3166  3311  3456
## [31945]  3601  3746  3891  4036  4181  4326  4471  4616  4761  4906  5051  5196
## [31957]  5341  5486  5631  5776  5921  6066  6211  6356  6501  6646  6791  6936
## [31969]  7081  7226  7371  7516  7661  7806  7951  8096  8241  8386  8531  8676
## [31981]  8821  8966  9111  9256  9401  9546  9691  9836  9981 10126 10271 10416
## [31993] 10561 10706 10851 10996 11141 11286 11431 11576 11721 11866 12011 12156
## [32005] 12301 12446 12591 12736 12881 13026 13171 13316 13461 13606 13751 13896
## [32017] 14041 14186 14331 14476 14621 14766 14911 15056 15201 15346 15491 15636
## [32029] 15781 15926 16071 16216 16361 16506 16651 16796 16941 17086 17231 17376
## [32041] 17521 17666 17811 17956 18101 18246 18391 18536 18681 18826 18971 19116
## [32053] 19261 19406 19551 19696 19841 19986 20131 20276 20421 20566 20711 20856
## [32065] 21001 21146 21291 21436 21581 21726 21871 22016 22161 22306 22451 22596
## [32077] 22741 22886 23031 23176 23321 23466 23611 23756 23901 24046 24191 24336
## [32089] 24481 24626 24771 24916 25061 25206 25351 25496 25641 25786 25931 26076
## [32101] 26221 26366 26511 26656 26801 26946 27091 27236 27381 27526 27671 27816
## [32113] 27961 28106 28251 28396 28541 28686 28831 28976 29121 29266 29411 29556
## [32125] 29701 29846 29991 30136 30281 30426 30571 30716 30861 31006 31151 31296
## [32137] 31441 31586 31731 31876 32021 32166 32311 32456 32601 32746 32891 33036
## [32149] 33181 33326 33471 33616 33761 33906 34051 34196 34341 34486 34631 34776
## [32161] 34921 35066 35211 35356 35501 35646 35791 35936 36081 36226 36371 36516
## [32173] 36661 36806 36951 37096 37241 37386 37531 37676 37821 37966 38111 38256
## [32185] 38401 38546   122   267   412   557   702   847   992  1137  1282  1427
## [32197]  1572  1717  1862  2007  2152  2297  2442  2587  2732  2877  3022  3167
## [32209]  3312  3457  3602  3747  3892  4037  4182  4327  4472  4617  4762  4907
## [32221]  5052  5197  5342  5487  5632  5777  5922  6067  6212  6357  6502  6647
## [32233]  6792  6937  7082  7227  7372  7517  7662  7807  7952  8097  8242  8387
## [32245]  8532  8677  8822  8967  9112  9257  9402  9547  9692  9837  9982 10127
## [32257] 10272 10417 10562 10707 10852 10997 11142 11287 11432 11577 11722 11867
## [32269] 12012 12157 12302 12447 12592 12737 12882 13027 13172 13317 13462 13607
## [32281] 13752 13897 14042 14187 14332 14477 14622 14767 14912 15057 15202 15347
## [32293] 15492 15637 15782 15927 16072 16217 16362 16507 16652 16797 16942 17087
## [32305] 17232 17377 17522 17667 17812 17957 18102 18247 18392 18537 18682 18827
## [32317] 18972 19117 19262 19407 19552 19697 19842 19987 20132 20277 20422 20567
## [32329] 20712 20857 21002 21147 21292 21437 21582 21727 21872 22017 22162 22307
## [32341] 22452 22597 22742 22887 23032 23177 23322 23467 23612 23757 23902 24047
## [32353] 24192 24337 24482 24627 24772 24917 25062 25207 25352 25497 25642 25787
## [32365] 25932 26077 26222 26367 26512 26657 26802 26947 27092 27237 27382 27527
## [32377] 27672 27817 27962 28107 28252 28397 28542 28687 28832 28977 29122 29267
## [32389] 29412 29557 29702 29847 29992 30137 30282 30427 30572 30717 30862 31007
## [32401] 31152 31297 31442 31587 31732 31877 32022 32167 32312 32457 32602 32747
## [32413] 32892 33037 33182 33327 33472 33617 33762 33907 34052 34197 34342 34487
## [32425] 34632 34777 34922 35067 35212 35357 35502 35647 35792 35937 36082 36227
## [32437] 36372 36517 36662 36807 36952 37097 37242 37387 37532 37677 37822 37967
## [32449] 38112 38257 38402 38547   123   268   413   558   703   848   993  1138
## [32461]  1283  1428  1573  1718  1863  2008  2153  2298  2443  2588  2733  2878
## [32473]  3023  3168  3313  3458  3603  3748  3893  4038  4183  4328  4473  4618
## [32485]  4763  4908  5053  5198  5343  5488  5633  5778  5923  6068  6213  6358
## [32497]  6503  6648  6793  6938  7083  7228  7373  7518  7663  7808  7953  8098
## [32509]  8243  8388  8533  8678  8823  8968  9113  9258  9403  9548  9693  9838
## [32521]  9983 10128 10273 10418 10563 10708 10853 10998 11143 11288 11433 11578
## [32533] 11723 11868 12013 12158 12303 12448 12593 12738 12883 13028 13173 13318
## [32545] 13463 13608 13753 13898 14043 14188 14333 14478 14623 14768 14913 15058
## [32557] 15203 15348 15493 15638 15783 15928 16073 16218 16363 16508 16653 16798
## [32569] 16943 17088 17233 17378 17523 17668 17813 17958 18103 18248 18393 18538
## [32581] 18683 18828 18973 19118 19263 19408 19553 19698 19843 19988 20133 20278
## [32593] 20423 20568 20713 20858 21003 21148 21293 21438 21583 21728 21873 22018
## [32605] 22163 22308 22453 22598 22743 22888 23033 23178 23323 23468 23613 23758
## [32617] 23903 24048 24193 24338 24483 24628 24773 24918 25063 25208 25353 25498
## [32629] 25643 25788 25933 26078 26223 26368 26513 26658 26803 26948 27093 27238
## [32641] 27383 27528 27673 27818 27963 28108 28253 28398 28543 28688 28833 28978
## [32653] 29123 29268 29413 29558 29703 29848 29993 30138 30283 30428 30573 30718
## [32665] 30863 31008 31153 31298 31443 31588 31733 31878 32023 32168 32313 32458
## [32677] 32603 32748 32893 33038 33183 33328 33473 33618 33763 33908 34053 34198
## [32689] 34343 34488 34633 34778 34923 35068 35213 35358 35503 35648 35793 35938
## [32701] 36083 36228 36373 36518 36663 36808 36953 37098 37243 37388 37533 37678
## [32713] 37823 37968 38113 38258 38403 38548   124   269   414   559   704   849
## [32725]   994  1139  1284  1429  1574  1719  1864  2009  2154  2299  2444  2589
## [32737]  2734  2879  3024  3169  3314  3459  3604  3749  3894  4039  4184  4329
## [32749]  4474  4619  4764  4909  5054  5199  5344  5489  5634  5779  5924  6069
## [32761]  6214  6359  6504  6649  6794  6939  7084  7229  7374  7519  7664  7809
## [32773]  7954  8099  8244  8389  8534  8679  8824  8969  9114  9259  9404  9549
## [32785]  9694  9839  9984 10129 10274 10419 10564 10709 10854 10999 11144 11289
## [32797] 11434 11579 11724 11869 12014 12159 12304 12449 12594 12739 12884 13029
## [32809] 13174 13319 13464 13609 13754 13899 14044 14189 14334 14479 14624 14769
## [32821] 14914 15059 15204 15349 15494 15639 15784 15929 16074 16219 16364 16509
## [32833] 16654 16799 16944 17089 17234 17379 17524 17669 17814 17959 18104 18249
## [32845] 18394 18539 18684 18829 18974 19119 19264 19409 19554 19699 19844 19989
## [32857] 20134 20279 20424 20569 20714 20859 21004 21149 21294 21439 21584 21729
## [32869] 21874 22019 22164 22309 22454 22599 22744 22889 23034 23179 23324 23469
## [32881] 23614 23759 23904 24049 24194 24339 24484 24629 24774 24919 25064 25209
## [32893] 25354 25499 25644 25789 25934 26079 26224 26369 26514 26659 26804 26949
## [32905] 27094 27239 27384 27529 27674 27819 27964 28109 28254 28399 28544 28689
## [32917] 28834 28979 29124 29269 29414 29559 29704 29849 29994 30139 30284 30429
## [32929] 30574 30719 30864 31009 31154 31299 31444 31589 31734 31879 32024 32169
## [32941] 32314 32459 32604 32749 32894 33039 33184 33329 33474 33619 33764 33909
## [32953] 34054 34199 34344 34489 34634 34779 34924 35069 35214 35359 35504 35649
## [32965] 35794 35939 36084 36229 36374 36519 36664 36809 36954 37099 37244 37389
## [32977] 37534 37679 37824 37969 38114 38259 38404 38549   125   270   415   560
## [32989]   705   850   995  1140  1285  1430  1575  1720  1865  2010  2155  2300
## [33001]  2445  2590  2735  2880  3025  3170  3315  3460  3605  3750  3895  4040
## [33013]  4185  4330  4475  4620  4765  4910  5055  5200  5345  5490  5635  5780
## [33025]  5925  6070  6215  6360  6505  6650  6795  6940  7085  7230  7375  7520
## [33037]  7665  7810  7955  8100  8245  8390  8535  8680  8825  8970  9115  9260
## [33049]  9405  9550  9695  9840  9985 10130 10275 10420 10565 10710 10855 11000
## [33061] 11145 11290 11435 11580 11725 11870 12015 12160 12305 12450 12595 12740
## [33073] 12885 13030 13175 13320 13465 13610 13755 13900 14045 14190 14335 14480
## [33085] 14625 14770 14915 15060 15205 15350 15495 15640 15785 15930 16075 16220
## [33097] 16365 16510 16655 16800 16945 17090 17235 17380 17525 17670 17815 17960
## [33109] 18105 18250 18395 18540 18685 18830 18975 19120 19265 19410 19555 19700
## [33121] 19845 19990 20135 20280 20425 20570 20715 20860 21005 21150 21295 21440
## [33133] 21585 21730 21875 22020 22165 22310 22455 22600 22745 22890 23035 23180
## [33145] 23325 23470 23615 23760 23905 24050 24195 24340 24485 24630 24775 24920
## [33157] 25065 25210 25355 25500 25645 25790 25935 26080 26225 26370 26515 26660
## [33169] 26805 26950 27095 27240 27385 27530 27675 27820 27965 28110 28255 28400
## [33181] 28545 28690 28835 28980 29125 29270 29415 29560 29705 29850 29995 30140
## [33193] 30285 30430 30575 30720 30865 31010 31155 31300 31445 31590 31735 31880
## [33205] 32025 32170 32315 32460 32605 32750 32895 33040 33185 33330 33475 33620
## [33217] 33765 33910 34055 34200 34345 34490 34635 34780 34925 35070 35215 35360
## [33229] 35505 35650 35795 35940 36085 36230 36375 36520 36665 36810 36955 37100
## [33241] 37245 37390 37535 37680 37825 37970 38115 38260 38405 38550   126   271
## [33253]   416   561   706   851   996  1141  1286  1431  1576  1721  1866  2011
## [33265]  2156  2301  2446  2591  2736  2881  3026  3171  3316  3461  3606  3751
## [33277]  3896  4041  4186  4331  4476  4621  4766  4911  5056  5201  5346  5491
## [33289]  5636  5781  5926  6071  6216  6361  6506  6651  6796  6941  7086  7231
## [33301]  7376  7521  7666  7811  7956  8101  8246  8391  8536  8681  8826  8971
## [33313]  9116  9261  9406  9551  9696  9841  9986 10131 10276 10421 10566 10711
## [33325] 10856 11001 11146 11291 11436 11581 11726 11871 12016 12161 12306 12451
## [33337] 12596 12741 12886 13031 13176 13321 13466 13611 13756 13901 14046 14191
## [33349] 14336 14481 14626 14771 14916 15061 15206 15351 15496 15641 15786 15931
## [33361] 16076 16221 16366 16511 16656 16801 16946 17091 17236 17381 17526 17671
## [33373] 17816 17961 18106 18251 18396 18541 18686 18831 18976 19121 19266 19411
## [33385] 19556 19701 19846 19991 20136 20281 20426 20571 20716 20861 21006 21151
## [33397] 21296 21441 21586 21731 21876 22021 22166 22311 22456 22601 22746 22891
## [33409] 23036 23181 23326 23471 23616 23761 23906 24051 24196 24341 24486 24631
## [33421] 24776 24921 25066 25211 25356 25501 25646 25791 25936 26081 26226 26371
## [33433] 26516 26661 26806 26951 27096 27241 27386 27531 27676 27821 27966 28111
## [33445] 28256 28401 28546 28691 28836 28981 29126 29271 29416 29561 29706 29851
## [33457] 29996 30141 30286 30431 30576 30721 30866 31011 31156 31301 31446 31591
## [33469] 31736 31881 32026 32171 32316 32461 32606 32751 32896 33041 33186 33331
## [33481] 33476 33621 33766 33911 34056 34201 34346 34491 34636 34781 34926 35071
## [33493] 35216 35361 35506 35651 35796 35941 36086 36231 36376 36521 36666 36811
## [33505] 36956 37101 37246 37391 37536 37681 37826 37971 38116 38261 38406 38551
## [33517]   127   272   417   562   707   852   997  1142  1287  1432  1577  1722
## [33529]  1867  2012  2157  2302  2447  2592  2737  2882  3027  3172  3317  3462
## [33541]  3607  3752  3897  4042  4187  4332  4477  4622  4767  4912  5057  5202
## [33553]  5347  5492  5637  5782  5927  6072  6217  6362  6507  6652  6797  6942
## [33565]  7087  7232  7377  7522  7667  7812  7957  8102  8247  8392  8537  8682
## [33577]  8827  8972  9117  9262  9407  9552  9697  9842  9987 10132 10277 10422
## [33589] 10567 10712 10857 11002 11147 11292 11437 11582 11727 11872 12017 12162
## [33601] 12307 12452 12597 12742 12887 13032 13177 13322 13467 13612 13757 13902
## [33613] 14047 14192 14337 14482 14627 14772 14917 15062 15207 15352 15497 15642
## [33625] 15787 15932 16077 16222 16367 16512 16657 16802 16947 17092 17237 17382
## [33637] 17527 17672 17817 17962 18107 18252 18397 18542 18687 18832 18977 19122
## [33649] 19267 19412 19557 19702 19847 19992 20137 20282 20427 20572 20717 20862
## [33661] 21007 21152 21297 21442 21587 21732 21877 22022 22167 22312 22457 22602
## [33673] 22747 22892 23037 23182 23327 23472 23617 23762 23907 24052 24197 24342
## [33685] 24487 24632 24777 24922 25067 25212 25357 25502 25647 25792 25937 26082
## [33697] 26227 26372 26517 26662 26807 26952 27097 27242 27387 27532 27677 27822
## [33709] 27967 28112 28257 28402 28547 28692 28837 28982 29127 29272 29417 29562
## [33721] 29707 29852 29997 30142 30287 30432 30577 30722 30867 31012 31157 31302
## [33733] 31447 31592 31737 31882 32027 32172 32317 32462 32607 32752 32897 33042
## [33745] 33187 33332 33477 33622 33767 33912 34057 34202 34347 34492 34637 34782
## [33757] 34927 35072 35217 35362 35507 35652 35797 35942 36087 36232 36377 36522
## [33769] 36667 36812 36957 37102 37247 37392 37537 37682 37827 37972 38117 38262
## [33781] 38407 38552   128   273   418   563   708   853   998  1143  1288  1433
## [33793]  1578  1723  1868  2013  2158  2303  2448  2593  2738  2883  3028  3173
## [33805]  3318  3463  3608  3753  3898  4043  4188  4333  4478  4623  4768  4913
## [33817]  5058  5203  5348  5493  5638  5783  5928  6073  6218  6363  6508  6653
## [33829]  6798  6943  7088  7233  7378  7523  7668  7813  7958  8103  8248  8393
## [33841]  8538  8683  8828  8973  9118  9263  9408  9553  9698  9843  9988 10133
## [33853] 10278 10423 10568 10713 10858 11003 11148 11293 11438 11583 11728 11873
## [33865] 12018 12163 12308 12453 12598 12743 12888 13033 13178 13323 13468 13613
## [33877] 13758 13903 14048 14193 14338 14483 14628 14773 14918 15063 15208 15353
## [33889] 15498 15643 15788 15933 16078 16223 16368 16513 16658 16803 16948 17093
## [33901] 17238 17383 17528 17673 17818 17963 18108 18253 18398 18543 18688 18833
## [33913] 18978 19123 19268 19413 19558 19703 19848 19993 20138 20283 20428 20573
## [33925] 20718 20863 21008 21153 21298 21443 21588 21733 21878 22023 22168 22313
## [33937] 22458 22603 22748 22893 23038 23183 23328 23473 23618 23763 23908 24053
## [33949] 24198 24343 24488 24633 24778 24923 25068 25213 25358 25503 25648 25793
## [33961] 25938 26083 26228 26373 26518 26663 26808 26953 27098 27243 27388 27533
## [33973] 27678 27823 27968 28113 28258 28403 28548 28693 28838 28983 29128 29273
## [33985] 29418 29563 29708 29853 29998 30143 30288 30433 30578 30723 30868 31013
## [33997] 31158 31303 31448 31593 31738 31883 32028 32173 32318 32463 32608 32753
## [34009] 32898 33043 33188 33333 33478 33623 33768 33913 34058 34203 34348 34493
## [34021] 34638 34783 34928 35073 35218 35363 35508 35653 35798 35943 36088 36233
## [34033] 36378 36523 36668 36813 36958 37103 37248 37393 37538 37683 37828 37973
## [34045] 38118 38263 38408 38553   129   274   419   564   709   854   999  1144
## [34057]  1289  1434  1579  1724  1869  2014  2159  2304  2449  2594  2739  2884
## [34069]  3029  3174  3319  3464  3609  3754  3899  4044  4189  4334  4479  4624
## [34081]  4769  4914  5059  5204  5349  5494  5639  5784  5929  6074  6219  6364
## [34093]  6509  6654  6799  6944  7089  7234  7379  7524  7669  7814  7959  8104
## [34105]  8249  8394  8539  8684  8829  8974  9119  9264  9409  9554  9699  9844
## [34117]  9989 10134 10279 10424 10569 10714 10859 11004 11149 11294 11439 11584
## [34129] 11729 11874 12019 12164 12309 12454 12599 12744 12889 13034 13179 13324
## [34141] 13469 13614 13759 13904 14049 14194 14339 14484 14629 14774 14919 15064
## [34153] 15209 15354 15499 15644 15789 15934 16079 16224 16369 16514 16659 16804
## [34165] 16949 17094 17239 17384 17529 17674 17819 17964 18109 18254 18399 18544
## [34177] 18689 18834 18979 19124 19269 19414 19559 19704 19849 19994 20139 20284
## [34189] 20429 20574 20719 20864 21009 21154 21299 21444 21589 21734 21879 22024
## [34201] 22169 22314 22459 22604 22749 22894 23039 23184 23329 23474 23619 23764
## [34213] 23909 24054 24199 24344 24489 24634 24779 24924 25069 25214 25359 25504
## [34225] 25649 25794 25939 26084 26229 26374 26519 26664 26809 26954 27099 27244
## [34237] 27389 27534 27679 27824 27969 28114 28259 28404 28549 28694 28839 28984
## [34249] 29129 29274 29419 29564 29709 29854 29999 30144 30289 30434 30579 30724
## [34261] 30869 31014 31159 31304 31449 31594 31739 31884 32029 32174 32319 32464
## [34273] 32609 32754 32899 33044 33189 33334 33479 33624 33769 33914 34059 34204
## [34285] 34349 34494 34639 34784 34929 35074 35219 35364 35509 35654 35799 35944
## [34297] 36089 36234 36379 36524 36669 36814 36959 37104 37249 37394 37539 37684
## [34309] 37829 37974 38119 38264 38409 38554   130   275   420   565   710   855
## [34321]  1000  1145  1290  1435  1580  1725  1870  2015  2160  2305  2450  2595
## [34333]  2740  2885  3030  3175  3320  3465  3610  3755  3900  4045  4190  4335
## [34345]  4480  4625  4770  4915  5060  5205  5350  5495  5640  5785  5930  6075
## [34357]  6220  6365  6510  6655  6800  6945  7090  7235  7380  7525  7670  7815
## [34369]  7960  8105  8250  8395  8540  8685  8830  8975  9120  9265  9410  9555
## [34381]  9700  9845  9990 10135 10280 10425 10570 10715 10860 11005 11150 11295
## [34393] 11440 11585 11730 11875 12020 12165 12310 12455 12600 12745 12890 13035
## [34405] 13180 13325 13470 13615 13760 13905 14050 14195 14340 14485 14630 14775
## [34417] 14920 15065 15210 15355 15500 15645 15790 15935 16080 16225 16370 16515
## [34429] 16660 16805 16950 17095 17240 17385 17530 17675 17820 17965 18110 18255
## [34441] 18400 18545 18690 18835 18980 19125 19270 19415 19560 19705 19850 19995
## [34453] 20140 20285 20430 20575 20720 20865 21010 21155 21300 21445 21590 21735
## [34465] 21880 22025 22170 22315 22460 22605 22750 22895 23040 23185 23330 23475
## [34477] 23620 23765 23910 24055 24200 24345 24490 24635 24780 24925 25070 25215
## [34489] 25360 25505 25650 25795 25940 26085 26230 26375 26520 26665 26810 26955
## [34501] 27100 27245 27390 27535 27680 27825 27970 28115 28260 28405 28550 28695
## [34513] 28840 28985 29130 29275 29420 29565 29710 29855 30000 30145 30290 30435
## [34525] 30580 30725 30870 31015 31160 31305 31450 31595 31740 31885 32030 32175
## [34537] 32320 32465 32610 32755 32900 33045 33190 33335 33480 33625 33770 33915
## [34549] 34060 34205 34350 34495 34640 34785 34930 35075 35220 35365 35510 35655
## [34561] 35800 35945 36090 36235 36380 36525 36670 36815 36960 37105 37250 37395
## [34573] 37540 37685 37830 37975 38120 38265 38410 38555   131   276   421   566
## [34585]   711   856  1001  1146  1291  1436  1581  1726  1871  2016  2161  2306
## [34597]  2451  2596  2741  2886  3031  3176  3321  3466  3611  3756  3901  4046
## [34609]  4191  4336  4481  4626  4771  4916  5061  5206  5351  5496  5641  5786
## [34621]  5931  6076  6221  6366  6511  6656  6801  6946  7091  7236  7381  7526
## [34633]  7671  7816  7961  8106  8251  8396  8541  8686  8831  8976  9121  9266
## [34645]  9411  9556  9701  9846  9991 10136 10281 10426 10571 10716 10861 11006
## [34657] 11151 11296 11441 11586 11731 11876 12021 12166 12311 12456 12601 12746
## [34669] 12891 13036 13181 13326 13471 13616 13761 13906 14051 14196 14341 14486
## [34681] 14631 14776 14921 15066 15211 15356 15501 15646 15791 15936 16081 16226
## [34693] 16371 16516 16661 16806 16951 17096 17241 17386 17531 17676 17821 17966
## [34705] 18111 18256 18401 18546 18691 18836 18981 19126 19271 19416 19561 19706
## [34717] 19851 19996 20141 20286 20431 20576 20721 20866 21011 21156 21301 21446
## [34729] 21591 21736 21881 22026 22171 22316 22461 22606 22751 22896 23041 23186
## [34741] 23331 23476 23621 23766 23911 24056 24201 24346 24491 24636 24781 24926
## [34753] 25071 25216 25361 25506 25651 25796 25941 26086 26231 26376 26521 26666
## [34765] 26811 26956 27101 27246 27391 27536 27681 27826 27971 28116 28261 28406
## [34777] 28551 28696 28841 28986 29131 29276 29421 29566 29711 29856 30001 30146
## [34789] 30291 30436 30581 30726 30871 31016 31161 31306 31451 31596 31741 31886
## [34801] 32031 32176 32321 32466 32611 32756 32901 33046 33191 33336 33481 33626
## [34813] 33771 33916 34061 34206 34351 34496 34641 34786 34931 35076 35221 35366
## [34825] 35511 35656 35801 35946 36091 36236 36381 36526 36671 36816 36961 37106
## [34837] 37251 37396 37541 37686 37831 37976 38121 38266 38411 38556   132   277
## [34849]   422   567   712   857  1002  1147  1292  1437  1582  1727  1872  2017
## [34861]  2162  2307  2452  2597  2742  2887  3032  3177  3322  3467  3612  3757
## [34873]  3902  4047  4192  4337  4482  4627  4772  4917  5062  5207  5352  5497
## [34885]  5642  5787  5932  6077  6222  6367  6512  6657  6802  6947  7092  7237
## [34897]  7382  7527  7672  7817  7962  8107  8252  8397  8542  8687  8832  8977
## [34909]  9122  9267  9412  9557  9702  9847  9992 10137 10282 10427 10572 10717
## [34921] 10862 11007 11152 11297 11442 11587 11732 11877 12022 12167 12312 12457
## [34933] 12602 12747 12892 13037 13182 13327 13472 13617 13762 13907 14052 14197
## [34945] 14342 14487 14632 14777 14922 15067 15212 15357 15502 15647 15792 15937
## [34957] 16082 16227 16372 16517 16662 16807 16952 17097 17242 17387 17532 17677
## [34969] 17822 17967 18112 18257 18402 18547 18692 18837 18982 19127 19272 19417
## [34981] 19562 19707 19852 19997 20142 20287 20432 20577 20722 20867 21012 21157
## [34993] 21302 21447 21592 21737 21882 22027 22172 22317 22462 22607 22752 22897
## [35005] 23042 23187 23332 23477 23622 23767 23912 24057 24202 24347 24492 24637
## [35017] 24782 24927 25072 25217 25362 25507 25652 25797 25942 26087 26232 26377
## [35029] 26522 26667 26812 26957 27102 27247 27392 27537 27682 27827 27972 28117
## [35041] 28262 28407 28552 28697 28842 28987 29132 29277 29422 29567 29712 29857
## [35053] 30002 30147 30292 30437 30582 30727 30872 31017 31162 31307 31452 31597
## [35065] 31742 31887 32032 32177 32322 32467 32612 32757 32902 33047 33192 33337
## [35077] 33482 33627 33772 33917 34062 34207 34352 34497 34642 34787 34932 35077
## [35089] 35222 35367 35512 35657 35802 35947 36092 36237 36382 36527 36672 36817
## [35101] 36962 37107 37252 37397 37542 37687 37832 37977 38122 38267 38412 38557
## [35113]   133   278   423   568   713   858  1003  1148  1293  1438  1583  1728
## [35125]  1873  2018  2163  2308  2453  2598  2743  2888  3033  3178  3323  3468
## [35137]  3613  3758  3903  4048  4193  4338  4483  4628  4773  4918  5063  5208
## [35149]  5353  5498  5643  5788  5933  6078  6223  6368  6513  6658  6803  6948
## [35161]  7093  7238  7383  7528  7673  7818  7963  8108  8253  8398  8543  8688
## [35173]  8833  8978  9123  9268  9413  9558  9703  9848  9993 10138 10283 10428
## [35185] 10573 10718 10863 11008 11153 11298 11443 11588 11733 11878 12023 12168
## [35197] 12313 12458 12603 12748 12893 13038 13183 13328 13473 13618 13763 13908
## [35209] 14053 14198 14343 14488 14633 14778 14923 15068 15213 15358 15503 15648
## [35221] 15793 15938 16083 16228 16373 16518 16663 16808 16953 17098 17243 17388
## [35233] 17533 17678 17823 17968 18113 18258 18403 18548 18693 18838 18983 19128
## [35245] 19273 19418 19563 19708 19853 19998 20143 20288 20433 20578 20723 20868
## [35257] 21013 21158 21303 21448 21593 21738 21883 22028 22173 22318 22463 22608
## [35269] 22753 22898 23043 23188 23333 23478 23623 23768 23913 24058 24203 24348
## [35281] 24493 24638 24783 24928 25073 25218 25363 25508 25653 25798 25943 26088
## [35293] 26233 26378 26523 26668 26813 26958 27103 27248 27393 27538 27683 27828
## [35305] 27973 28118 28263 28408 28553 28698 28843 28988 29133 29278 29423 29568
## [35317] 29713 29858 30003 30148 30293 30438 30583 30728 30873 31018 31163 31308
## [35329] 31453 31598 31743 31888 32033 32178 32323 32468 32613 32758 32903 33048
## [35341] 33193 33338 33483 33628 33773 33918 34063 34208 34353 34498 34643 34788
## [35353] 34933 35078 35223 35368 35513 35658 35803 35948 36093 36238 36383 36528
## [35365] 36673 36818 36963 37108 37253 37398 37543 37688 37833 37978 38123 38268
## [35377] 38413 38558   134   279   424   569   714   859  1004  1149  1294  1439
## [35389]  1584  1729  1874  2019  2164  2309  2454  2599  2744  2889  3034  3179
## [35401]  3324  3469  3614  3759  3904  4049  4194  4339  4484  4629  4774  4919
## [35413]  5064  5209  5354  5499  5644  5789  5934  6079  6224  6369  6514  6659
## [35425]  6804  6949  7094  7239  7384  7529  7674  7819  7964  8109  8254  8399
## [35437]  8544  8689  8834  8979  9124  9269  9414  9559  9704  9849  9994 10139
## [35449] 10284 10429 10574 10719 10864 11009 11154 11299 11444 11589 11734 11879
## [35461] 12024 12169 12314 12459 12604 12749 12894 13039 13184 13329 13474 13619
## [35473] 13764 13909 14054 14199 14344 14489 14634 14779 14924 15069 15214 15359
## [35485] 15504 15649 15794 15939 16084 16229 16374 16519 16664 16809 16954 17099
## [35497] 17244 17389 17534 17679 17824 17969 18114 18259 18404 18549 18694 18839
## [35509] 18984 19129 19274 19419 19564 19709 19854 19999 20144 20289 20434 20579
## [35521] 20724 20869 21014 21159 21304 21449 21594 21739 21884 22029 22174 22319
## [35533] 22464 22609 22754 22899 23044 23189 23334 23479 23624 23769 23914 24059
## [35545] 24204 24349 24494 24639 24784 24929 25074 25219 25364 25509 25654 25799
## [35557] 25944 26089 26234 26379 26524 26669 26814 26959 27104 27249 27394 27539
## [35569] 27684 27829 27974 28119 28264 28409 28554 28699 28844 28989 29134 29279
## [35581] 29424 29569 29714 29859 30004 30149 30294 30439 30584 30729 30874 31019
## [35593] 31164 31309 31454 31599 31744 31889 32034 32179 32324 32469 32614 32759
## [35605] 32904 33049 33194 33339 33484 33629 33774 33919 34064 34209 34354 34499
## [35617] 34644 34789 34934 35079 35224 35369 35514 35659 35804 35949 36094 36239
## [35629] 36384 36529 36674 36819 36964 37109 37254 37399 37544 37689 37834 37979
## [35641] 38124 38269 38414 38559   135   280   425   570   715   860  1005  1150
## [35653]  1295  1440  1585  1730  1875  2020  2165  2310  2455  2600  2745  2890
## [35665]  3035  3180  3325  3470  3615  3760  3905  4050  4195  4340  4485  4630
## [35677]  4775  4920  5065  5210  5355  5500  5645  5790  5935  6080  6225  6370
## [35689]  6515  6660  6805  6950  7095  7240  7385  7530  7675  7820  7965  8110
## [35701]  8255  8400  8545  8690  8835  8980  9125  9270  9415  9560  9705  9850
## [35713]  9995 10140 10285 10430 10575 10720 10865 11010 11155 11300 11445 11590
## [35725] 11735 11880 12025 12170 12315 12460 12605 12750 12895 13040 13185 13330
## [35737] 13475 13620 13765 13910 14055 14200 14345 14490 14635 14780 14925 15070
## [35749] 15215 15360 15505 15650 15795 15940 16085 16230 16375 16520 16665 16810
## [35761] 16955 17100 17245 17390 17535 17680 17825 17970 18115 18260 18405 18550
## [35773] 18695 18840 18985 19130 19275 19420 19565 19710 19855 20000 20145 20290
## [35785] 20435 20580 20725 20870 21015 21160 21305 21450 21595 21740 21885 22030
## [35797] 22175 22320 22465 22610 22755 22900 23045 23190 23335 23480 23625 23770
## [35809] 23915 24060 24205 24350 24495 24640 24785 24930 25075 25220 25365 25510
## [35821] 25655 25800 25945 26090 26235 26380 26525 26670 26815 26960 27105 27250
## [35833] 27395 27540 27685 27830 27975 28120 28265 28410 28555 28700 28845 28990
## [35845] 29135 29280 29425 29570 29715 29860 30005 30150 30295 30440 30585 30730
## [35857] 30875 31020 31165 31310 31455 31600 31745 31890 32035 32180 32325 32470
## [35869] 32615 32760 32905 33050 33195 33340 33485 33630 33775 33920 34065 34210
## [35881] 34355 34500 34645 34790 34935 35080 35225 35370 35515 35660 35805 35950
## [35893] 36095 36240 36385 36530 36675 36820 36965 37110 37255 37400 37545 37690
## [35905] 37835 37980 38125 38270 38415 38560   136   281   426   571   716   861
## [35917]  1006  1151  1296  1441  1586  1731  1876  2021  2166  2311  2456  2601
## [35929]  2746  2891  3036  3181  3326  3471  3616  3761  3906  4051  4196  4341
## [35941]  4486  4631  4776  4921  5066  5211  5356  5501  5646  5791  5936  6081
## [35953]  6226  6371  6516  6661  6806  6951  7096  7241  7386  7531  7676  7821
## [35965]  7966  8111  8256  8401  8546  8691  8836  8981  9126  9271  9416  9561
## [35977]  9706  9851  9996 10141 10286 10431 10576 10721 10866 11011 11156 11301
## [35989] 11446 11591 11736 11881 12026 12171 12316 12461 12606 12751 12896 13041
## [36001] 13186 13331 13476 13621 13766 13911 14056 14201 14346 14491 14636 14781
## [36013] 14926 15071 15216 15361 15506 15651 15796 15941 16086 16231 16376 16521
## [36025] 16666 16811 16956 17101 17246 17391 17536 17681 17826 17971 18116 18261
## [36037] 18406 18551 18696 18841 18986 19131 19276 19421 19566 19711 19856 20001
## [36049] 20146 20291 20436 20581 20726 20871 21016 21161 21306 21451 21596 21741
## [36061] 21886 22031 22176 22321 22466 22611 22756 22901 23046 23191 23336 23481
## [36073] 23626 23771 23916 24061 24206 24351 24496 24641 24786 24931 25076 25221
## [36085] 25366 25511 25656 25801 25946 26091 26236 26381 26526 26671 26816 26961
## [36097] 27106 27251 27396 27541 27686 27831 27976 28121 28266 28411 28556 28701
## [36109] 28846 28991 29136 29281 29426 29571 29716 29861 30006 30151 30296 30441
## [36121] 30586 30731 30876 31021 31166 31311 31456 31601 31746 31891 32036 32181
## [36133] 32326 32471 32616 32761 32906 33051 33196 33341 33486 33631 33776 33921
## [36145] 34066 34211 34356 34501 34646 34791 34936 35081 35226 35371 35516 35661
## [36157] 35806 35951 36096 36241 36386 36531 36676 36821 36966 37111 37256 37401
## [36169] 37546 37691 37836 37981 38126 38271 38416 38561   137   282   427   572
## [36181]   717   862  1007  1152  1297  1442  1587  1732  1877  2022  2167  2312
## [36193]  2457  2602  2747  2892  3037  3182  3327  3472  3617  3762  3907  4052
## [36205]  4197  4342  4487  4632  4777  4922  5067  5212  5357  5502  5647  5792
## [36217]  5937  6082  6227  6372  6517  6662  6807  6952  7097  7242  7387  7532
## [36229]  7677  7822  7967  8112  8257  8402  8547  8692  8837  8982  9127  9272
## [36241]  9417  9562  9707  9852  9997 10142 10287 10432 10577 10722 10867 11012
## [36253] 11157 11302 11447 11592 11737 11882 12027 12172 12317 12462 12607 12752
## [36265] 12897 13042 13187 13332 13477 13622 13767 13912 14057 14202 14347 14492
## [36277] 14637 14782 14927 15072 15217 15362 15507 15652 15797 15942 16087 16232
## [36289] 16377 16522 16667 16812 16957 17102 17247 17392 17537 17682 17827 17972
## [36301] 18117 18262 18407 18552 18697 18842 18987 19132 19277 19422 19567 19712
## [36313] 19857 20002 20147 20292 20437 20582 20727 20872 21017 21162 21307 21452
## [36325] 21597 21742 21887 22032 22177 22322 22467 22612 22757 22902 23047 23192
## [36337] 23337 23482 23627 23772 23917 24062 24207 24352 24497 24642 24787 24932
## [36349] 25077 25222 25367 25512 25657 25802 25947 26092 26237 26382 26527 26672
## [36361] 26817 26962 27107 27252 27397 27542 27687 27832 27977 28122 28267 28412
## [36373] 28557 28702 28847 28992 29137 29282 29427 29572 29717 29862 30007 30152
## [36385] 30297 30442 30587 30732 30877 31022 31167 31312 31457 31602 31747 31892
## [36397] 32037 32182 32327 32472 32617 32762 32907 33052 33197 33342 33487 33632
## [36409] 33777 33922 34067 34212 34357 34502 34647 34792 34937 35082 35227 35372
## [36421] 35517 35662 35807 35952 36097 36242 36387 36532 36677 36822 36967 37112
## [36433] 37257 37402 37547 37692 37837 37982 38127 38272 38417 38562   138   283
## [36445]   428   573   718   863  1008  1153  1298  1443  1588  1733  1878  2023
## [36457]  2168  2313  2458  2603  2748  2893  3038  3183  3328  3473  3618  3763
## [36469]  3908  4053  4198  4343  4488  4633  4778  4923  5068  5213  5358  5503
## [36481]  5648  5793  5938  6083  6228  6373  6518  6663  6808  6953  7098  7243
## [36493]  7388  7533  7678  7823  7968  8113  8258  8403  8548  8693  8838  8983
## [36505]  9128  9273  9418  9563  9708  9853  9998 10143 10288 10433 10578 10723
## [36517] 10868 11013 11158 11303 11448 11593 11738 11883 12028 12173 12318 12463
## [36529] 12608 12753 12898 13043 13188 13333 13478 13623 13768 13913 14058 14203
## [36541] 14348 14493 14638 14783 14928 15073 15218 15363 15508 15653 15798 15943
## [36553] 16088 16233 16378 16523 16668 16813 16958 17103 17248 17393 17538 17683
## [36565] 17828 17973 18118 18263 18408 18553 18698 18843 18988 19133 19278 19423
## [36577] 19568 19713 19858 20003 20148 20293 20438 20583 20728 20873 21018 21163
## [36589] 21308 21453 21598 21743 21888 22033 22178 22323 22468 22613 22758 22903
## [36601] 23048 23193 23338 23483 23628 23773 23918 24063 24208 24353 24498 24643
## [36613] 24788 24933 25078 25223 25368 25513 25658 25803 25948 26093 26238 26383
## [36625] 26528 26673 26818 26963 27108 27253 27398 27543 27688 27833 27978 28123
## [36637] 28268 28413 28558 28703 28848 28993 29138 29283 29428 29573 29718 29863
## [36649] 30008 30153 30298 30443 30588 30733 30878 31023 31168 31313 31458 31603
## [36661] 31748 31893 32038 32183 32328 32473 32618 32763 32908 33053 33198 33343
## [36673] 33488 33633 33778 33923 34068 34213 34358 34503 34648 34793 34938 35083
## [36685] 35228 35373 35518 35663 35808 35953 36098 36243 36388 36533 36678 36823
## [36697] 36968 37113 37258 37403 37548 37693 37838 37983 38128 38273 38418 38563
## [36709]   139   284   429   574   719   864  1009  1154  1299  1444  1589  1734
## [36721]  1879  2024  2169  2314  2459  2604  2749  2894  3039  3184  3329  3474
## [36733]  3619  3764  3909  4054  4199  4344  4489  4634  4779  4924  5069  5214
## [36745]  5359  5504  5649  5794  5939  6084  6229  6374  6519  6664  6809  6954
## [36757]  7099  7244  7389  7534  7679  7824  7969  8114  8259  8404  8549  8694
## [36769]  8839  8984  9129  9274  9419  9564  9709  9854  9999 10144 10289 10434
## [36781] 10579 10724 10869 11014 11159 11304 11449 11594 11739 11884 12029 12174
## [36793] 12319 12464 12609 12754 12899 13044 13189 13334 13479 13624 13769 13914
## [36805] 14059 14204 14349 14494 14639 14784 14929 15074 15219 15364 15509 15654
## [36817] 15799 15944 16089 16234 16379 16524 16669 16814 16959 17104 17249 17394
## [36829] 17539 17684 17829 17974 18119 18264 18409 18554 18699 18844 18989 19134
## [36841] 19279 19424 19569 19714 19859 20004 20149 20294 20439 20584 20729 20874
## [36853] 21019 21164 21309 21454 21599 21744 21889 22034 22179 22324 22469 22614
## [36865] 22759 22904 23049 23194 23339 23484 23629 23774 23919 24064 24209 24354
## [36877] 24499 24644 24789 24934 25079 25224 25369 25514 25659 25804 25949 26094
## [36889] 26239 26384 26529 26674 26819 26964 27109 27254 27399 27544 27689 27834
## [36901] 27979 28124 28269 28414 28559 28704 28849 28994 29139 29284 29429 29574
## [36913] 29719 29864 30009 30154 30299 30444 30589 30734 30879 31024 31169 31314
## [36925] 31459 31604 31749 31894 32039 32184 32329 32474 32619 32764 32909 33054
## [36937] 33199 33344 33489 33634 33779 33924 34069 34214 34359 34504 34649 34794
## [36949] 34939 35084 35229 35374 35519 35664 35809 35954 36099 36244 36389 36534
## [36961] 36679 36824 36969 37114 37259 37404 37549 37694 37839 37984 38129 38274
## [36973] 38419 38564   140   285   430   575   720   865  1010  1155  1300  1445
## [36985]  1590  1735  1880  2025  2170  2315  2460  2605  2750  2895  3040  3185
## [36997]  3330  3475  3620  3765  3910  4055  4200  4345  4490  4635  4780  4925
## [37009]  5070  5215  5360  5505  5650  5795  5940  6085  6230  6375  6520  6665
## [37021]  6810  6955  7100  7245  7390  7535  7680  7825  7970  8115  8260  8405
## [37033]  8550  8695  8840  8985  9130  9275  9420  9565  9710  9855 10000 10145
## [37045] 10290 10435 10580 10725 10870 11015 11160 11305 11450 11595 11740 11885
## [37057] 12030 12175 12320 12465 12610 12755 12900 13045 13190 13335 13480 13625
## [37069] 13770 13915 14060 14205 14350 14495 14640 14785 14930 15075 15220 15365
## [37081] 15510 15655 15800 15945 16090 16235 16380 16525 16670 16815 16960 17105
## [37093] 17250 17395 17540 17685 17830 17975 18120 18265 18410 18555 18700 18845
## [37105] 18990 19135 19280 19425 19570 19715 19860 20005 20150 20295 20440 20585
## [37117] 20730 20875 21020 21165 21310 21455 21600 21745 21890 22035 22180 22325
## [37129] 22470 22615 22760 22905 23050 23195 23340 23485 23630 23775 23920 24065
## [37141] 24210 24355 24500 24645 24790 24935 25080 25225 25370 25515 25660 25805
## [37153] 25950 26095 26240 26385 26530 26675 26820 26965 27110 27255 27400 27545
## [37165] 27690 27835 27980 28125 28270 28415 28560 28705 28850 28995 29140 29285
## [37177] 29430 29575 29720 29865 30010 30155 30300 30445 30590 30735 30880 31025
## [37189] 31170 31315 31460 31605 31750 31895 32040 32185 32330 32475 32620 32765
## [37201] 32910 33055 33200 33345 33490 33635 33780 33925 34070 34215 34360 34505
## [37213] 34650 34795 34940 35085 35230 35375 35520 35665 35810 35955 36100 36245
## [37225] 36390 36535 36680 36825 36970 37115 37260 37405 37550 37695 37840 37985
## [37237] 38130 38275 38420 38565   141   286   431   576   721   866  1011  1156
## [37249]  1301  1446  1591  1736  1881  2026  2171  2316  2461  2606  2751  2896
## [37261]  3041  3186  3331  3476  3621  3766  3911  4056  4201  4346  4491  4636
## [37273]  4781  4926  5071  5216  5361  5506  5651  5796  5941  6086  6231  6376
## [37285]  6521  6666  6811  6956  7101  7246  7391  7536  7681  7826  7971  8116
## [37297]  8261  8406  8551  8696  8841  8986  9131  9276  9421  9566  9711  9856
## [37309] 10001 10146 10291 10436 10581 10726 10871 11016 11161 11306 11451 11596
## [37321] 11741 11886 12031 12176 12321 12466 12611 12756 12901 13046 13191 13336
## [37333] 13481 13626 13771 13916 14061 14206 14351 14496 14641 14786 14931 15076
## [37345] 15221 15366 15511 15656 15801 15946 16091 16236 16381 16526 16671 16816
## [37357] 16961 17106 17251 17396 17541 17686 17831 17976 18121 18266 18411 18556
## [37369] 18701 18846 18991 19136 19281 19426 19571 19716 19861 20006 20151 20296
## [37381] 20441 20586 20731 20876 21021 21166 21311 21456 21601 21746 21891 22036
## [37393] 22181 22326 22471 22616 22761 22906 23051 23196 23341 23486 23631 23776
## [37405] 23921 24066 24211 24356 24501 24646 24791 24936 25081 25226 25371 25516
## [37417] 25661 25806 25951 26096 26241 26386 26531 26676 26821 26966 27111 27256
## [37429] 27401 27546 27691 27836 27981 28126 28271 28416 28561 28706 28851 28996
## [37441] 29141 29286 29431 29576 29721 29866 30011 30156 30301 30446 30591 30736
## [37453] 30881 31026 31171 31316 31461 31606 31751 31896 32041 32186 32331 32476
## [37465] 32621 32766 32911 33056 33201 33346 33491 33636 33781 33926 34071 34216
## [37477] 34361 34506 34651 34796 34941 35086 35231 35376 35521 35666 35811 35956
## [37489] 36101 36246 36391 36536 36681 36826 36971 37116 37261 37406 37551 37696
## [37501] 37841 37986 38131 38276 38421 38566   142   287   432   577   722   867
## [37513]  1012  1157  1302  1447  1592  1737  1882  2027  2172  2317  2462  2607
## [37525]  2752  2897  3042  3187  3332  3477  3622  3767  3912  4057  4202  4347
## [37537]  4492  4637  4782  4927  5072  5217  5362  5507  5652  5797  5942  6087
## [37549]  6232  6377  6522  6667  6812  6957  7102  7247  7392  7537  7682  7827
## [37561]  7972  8117  8262  8407  8552  8697  8842  8987  9132  9277  9422  9567
## [37573]  9712  9857 10002 10147 10292 10437 10582 10727 10872 11017 11162 11307
## [37585] 11452 11597 11742 11887 12032 12177 12322 12467 12612 12757 12902 13047
## [37597] 13192 13337 13482 13627 13772 13917 14062 14207 14352 14497 14642 14787
## [37609] 14932 15077 15222 15367 15512 15657 15802 15947 16092 16237 16382 16527
## [37621] 16672 16817 16962 17107 17252 17397 17542 17687 17832 17977 18122 18267
## [37633] 18412 18557 18702 18847 18992 19137 19282 19427 19572 19717 19862 20007
## [37645] 20152 20297 20442 20587 20732 20877 21022 21167 21312 21457 21602 21747
## [37657] 21892 22037 22182 22327 22472 22617 22762 22907 23052 23197 23342 23487
## [37669] 23632 23777 23922 24067 24212 24357 24502 24647 24792 24937 25082 25227
## [37681] 25372 25517 25662 25807 25952 26097 26242 26387 26532 26677 26822 26967
## [37693] 27112 27257 27402 27547 27692 27837 27982 28127 28272 28417 28562 28707
## [37705] 28852 28997 29142 29287 29432 29577 29722 29867 30012 30157 30302 30447
## [37717] 30592 30737 30882 31027 31172 31317 31462 31607 31752 31897 32042 32187
## [37729] 32332 32477 32622 32767 32912 33057 33202 33347 33492 33637 33782 33927
## [37741] 34072 34217 34362 34507 34652 34797 34942 35087 35232 35377 35522 35667
## [37753] 35812 35957 36102 36247 36392 36537 36682 36827 36972 37117 37262 37407
## [37765] 37552 37697 37842 37987 38132 38277 38422 38567   143   288   433   578
## [37777]   723   868  1013  1158  1303  1448  1593  1738  1883  2028  2173  2318
## [37789]  2463  2608  2753  2898  3043  3188  3333  3478  3623  3768  3913  4058
## [37801]  4203  4348  4493  4638  4783  4928  5073  5218  5363  5508  5653  5798
## [37813]  5943  6088  6233  6378  6523  6668  6813  6958  7103  7248  7393  7538
## [37825]  7683  7828  7973  8118  8263  8408  8553  8698  8843  8988  9133  9278
## [37837]  9423  9568  9713  9858 10003 10148 10293 10438 10583 10728 10873 11018
## [37849] 11163 11308 11453 11598 11743 11888 12033 12178 12323 12468 12613 12758
## [37861] 12903 13048 13193 13338 13483 13628 13773 13918 14063 14208 14353 14498
## [37873] 14643 14788 14933 15078 15223 15368 15513 15658 15803 15948 16093 16238
## [37885] 16383 16528 16673 16818 16963 17108 17253 17398 17543 17688 17833 17978
## [37897] 18123 18268 18413 18558 18703 18848 18993 19138 19283 19428 19573 19718
## [37909] 19863 20008 20153 20298 20443 20588 20733 20878 21023 21168 21313 21458
## [37921] 21603 21748 21893 22038 22183 22328 22473 22618 22763 22908 23053 23198
## [37933] 23343 23488 23633 23778 23923 24068 24213 24358 24503 24648 24793 24938
## [37945] 25083 25228 25373 25518 25663 25808 25953 26098 26243 26388 26533 26678
## [37957] 26823 26968 27113 27258 27403 27548 27693 27838 27983 28128 28273 28418
## [37969] 28563 28708 28853 28998 29143 29288 29433 29578 29723 29868 30013 30158
## [37981] 30303 30448 30593 30738 30883 31028 31173 31318 31463 31608 31753 31898
## [37993] 32043 32188 32333 32478 32623 32768 32913 33058 33203 33348 33493 33638
## [38005] 33783 33928 34073 34218 34363 34508 34653 34798 34943 35088 35233 35378
## [38017] 35523 35668 35813 35958 36103 36248 36393 36538 36683 36828 36973 37118
## [38029] 37263 37408 37553 37698 37843 37988 38133 38278 38423 38568   144   289
## [38041]   434   579   724   869  1014  1159  1304  1449  1594  1739  1884  2029
## [38053]  2174  2319  2464  2609  2754  2899  3044  3189  3334  3479  3624  3769
## [38065]  3914  4059  4204  4349  4494  4639  4784  4929  5074  5219  5364  5509
## [38077]  5654  5799  5944  6089  6234  6379  6524  6669  6814  6959  7104  7249
## [38089]  7394  7539  7684  7829  7974  8119  8264  8409  8554  8699  8844  8989
## [38101]  9134  9279  9424  9569  9714  9859 10004 10149 10294 10439 10584 10729
## [38113] 10874 11019 11164 11309 11454 11599 11744 11889 12034 12179 12324 12469
## [38125] 12614 12759 12904 13049 13194 13339 13484 13629 13774 13919 14064 14209
## [38137] 14354 14499 14644 14789 14934 15079 15224 15369 15514 15659 15804 15949
## [38149] 16094 16239 16384 16529 16674 16819 16964 17109 17254 17399 17544 17689
## [38161] 17834 17979 18124 18269 18414 18559 18704 18849 18994 19139 19284 19429
## [38173] 19574 19719 19864 20009 20154 20299 20444 20589 20734 20879 21024 21169
## [38185] 21314 21459 21604 21749 21894 22039 22184 22329 22474 22619 22764 22909
## [38197] 23054 23199 23344 23489 23634 23779 23924 24069 24214 24359 24504 24649
## [38209] 24794 24939 25084 25229 25374 25519 25664 25809 25954 26099 26244 26389
## [38221] 26534 26679 26824 26969 27114 27259 27404 27549 27694 27839 27984 28129
## [38233] 28274 28419 28564 28709 28854 28999 29144 29289 29434 29579 29724 29869
## [38245] 30014 30159 30304 30449 30594 30739 30884 31029 31174 31319 31464 31609
## [38257] 31754 31899 32044 32189 32334 32479 32624 32769 32914 33059 33204 33349
## [38269] 33494 33639 33784 33929 34074 34219 34364 34509 34654 34799 34944 35089
## [38281] 35234 35379 35524 35669 35814 35959 36104 36249 36394 36539 36684 36829
## [38293] 36974 37119 37264 37409 37554 37699 37844 37989 38134 38279 38424 38569
## [38305]   145   290   435   580   725   870  1015  1160  1305  1450  1595  1740
## [38317]  1885  2030  2175  2320  2465  2610  2755  2900  3045  3190  3335  3480
## [38329]  3625  3770  3915  4060  4205  4350  4495  4640  4785  4930  5075  5220
## [38341]  5365  5510  5655  5800  5945  6090  6235  6380  6525  6670  6815  6960
## [38353]  7105  7250  7395  7540  7685  7830  7975  8120  8265  8410  8555  8700
## [38365]  8845  8990  9135  9280  9425  9570  9715  9860 10005 10150 10295 10440
## [38377] 10585 10730 10875 11020 11165 11310 11455 11600 11745 11890 12035 12180
## [38389] 12325 12470 12615 12760 12905 13050 13195 13340 13485 13630 13775 13920
## [38401] 14065 14210 14355 14500 14645 14790 14935 15080 15225 15370 15515 15660
## [38413] 15805 15950 16095 16240 16385 16530 16675 16820 16965 17110 17255 17400
## [38425] 17545 17690 17835 17980 18125 18270 18415 18560 18705 18850 18995 19140
## [38437] 19285 19430 19575 19720 19865 20010 20155 20300 20445 20590 20735 20880
## [38449] 21025 21170 21315 21460 21605 21750 21895 22040 22185 22330 22475 22620
## [38461] 22765 22910 23055 23200 23345 23490 23635 23780 23925 24070 24215 24360
## [38473] 24505 24650 24795 24940 25085 25230 25375 25520 25665 25810 25955 26100
## [38485] 26245 26390 26535 26680 26825 26970 27115 27260 27405 27550 27695 27840
## [38497] 27985 28130 28275 28420 28565 28710 28855 29000 29145 29290 29435 29580
## [38509] 29725 29870 30015 30160 30305 30450 30595 30740 30885 31030 31175 31320
## [38521] 31465 31610 31755 31900 32045 32190 32335 32480 32625 32770 32915 33060
## [38533] 33205 33350 33495 33640 33785 33930 34075 34220 34365 34510 34655 34800
## [38545] 34945 35090 35235 35380 35525 35670 35815 35960 36105 36250 36395 36540
## [38557] 36685 36830 36975 37120 37265 37410 37555 37700 37845 37990 38135 38280
## [38569] 38425 38570

# I then merge the cleaned deceased and confirmed datasets.
Merged_Data <- cbind(Confirmed_Long, Deceased_Long)
colnames(Merged_Data)

##  [1] "Province/State"  "Country/Region"  "Lat"             "Long"           
##  [5] "Dates"           "Confirmed_Cases" "COUNTRY"         "Date"           
##  [9] "Province/State"  "Country/Region"  "Lat"             "Long"           
## [13] "Dates"           "Deceased"        "COUNTRY"         "Date"

# I only keep the variables we are interested in.
myvars <- c("COUNTRY", "Province/State", "Lat", "Long", "Dates", "Confirmed_Cases", "Date", "Deceased")

# I rename this file as our temporary data.
Temporary_Data_Country <- Merged_Data[myvars]

# We might also want a dataset with the total number of global confirmed cases and deaths per day.
World_Data <- Temporary_Data_Country %>% group_by(Date) %>%
summarise(country='World', Global_Confirmed_Cases = sum(Confirmed_Cases, na.rm=T),
Global_Deceased = sum(Deceased, na.rm=T))
World_Data$Death_Rate <- ((World_Data$Global_Deceased/World_Data$Global_Confirmed_Cases) * 100)

Collapsing and calculating relevant variables in the temporary data.

# Here, I subset the data so as to properly collapse by country.
myvarstemporary <- c("COUNTRY", "Date", "Confirmed_Cases", "Deceased")

Temporary_Data_Country <- Temporary_Data_Country[myvarstemporary]

Temporary_Data_Country <- Temporary_Data_Country %>%
  group_by(COUNTRY, Date) %>%
  summarise(Total_Cases_Country = sum(Confirmed_Cases), Total_Deceased_Country = sum(Deceased))

# I next want to calculate the increase in deaths and confirmed cases per day.

Temporary_Data_Country %>%
  arrange(COUNTRY, Date)

## # A tibble: 27,260 x 4
## # Groups:   COUNTRY [188]
##    COUNTRY     Date       Total_Cases_Country Total_Deceased_Country
##    <chr>       <date>                   <dbl>                  <dbl>
##  1 Afghanistan 2020-01-22                   0                      0
##  2 Afghanistan 2020-01-23                   0                      0
##  3 Afghanistan 2020-01-24                   0                      0
##  4 Afghanistan 2020-01-25                   0                      0
##  5 Afghanistan 2020-01-26                   0                      0
##  6 Afghanistan 2020-01-27                   0                      0
##  7 Afghanistan 2020-01-28                   0                      0
##  8 Afghanistan 2020-01-29                   0                      0
##  9 Afghanistan 2020-01-30                   0                      0
## 10 Afghanistan 2020-01-31                   0                      0
## # … with 27,250 more rows

number <- nrow(Temporary_Data_Country)
First_Day <- min(Temporary_Data_Country$Date)

Temporary_Data_Country$New_Confirmed_Country <- ifelse(Temporary_Data_Country$Date == First_Day, NA, Temporary_Data_Country$Total_Cases_Country - dplyr::lag(Temporary_Data_Country$Total_Cases_Country, number=1))

Temporary_Data_Country$New_Total_Deceased_Country <- ifelse(Temporary_Data_Country$Date == First_Day, NA, Temporary_Data_Country$Total_Deceased_Country - dplyr::lag(Temporary_Data_Country$Total_Deceased_Country, number=1))

# There are a few values for which we have negative new deaths and new cases. Intuitively, this shouldn't make sense. This is actually a problem which steps from the COVID data. For example, Iceland has some weird values in the initial dataframe. Although deaths should represent cumulative sums, if we observe the data from 3/15 - 4/05, we note that the number of recorded deaths drops from 5 to 0, then increases back to six as the month progresses. This is a well-documented problem which stems from the original Github data: https://github.com/CSSEGISandData/COVID-19/issues/2379; https://github.com/CSSEGISandData/COVID-19/issues/2165. We can either exclude data points which show a decrease in cumulative deaths (which I haven't done here); or wait for the data to be updated. Because we only drop a few observations from the analysis, I choose to exclude them, and proceed as normal. Note that when we take global sums, this will affect our cumulative totals (as we have excluded observations for certain nations on certain days).

Temporary_Data_Country <- Temporary_Data_Country[which(Temporary_Data_Country$New_Confirmed_Country >= 0),]
Temporary_Data_Country <- Temporary_Data_Country[which(Temporary_Data_Country$New_Total_Deceased_Country >= 0),]

# Now, I calculate the total mortality rate per capita, new mortality rate per capita, death rate per capita, and confirmed cases per capita (using data from the United Nations on global demographics for the merge). 

UN_Population <- read_csv("data/UN_Population_Data.csv")

## Parsed with column specification:
## cols(
##   Location = col_character(),
##   Population = col_double()
## )

UN_Population$COUNTRY <- UN_Population$Location

UN_Population[25, "COUNTRY"] <- "Bolivia"
UN_Population[30, "COUNTRY"] <- "Brunei"
UN_Population[43, "COUNTRY"] <- "Taiwan*"
UN_Population[46, "COUNTRY"] <- "Congo (Brazzaville)"
UN_Population[54, "COUNTRY"] <-"Cote d'Ivoire"
UN_Population[56, "COUNTRY"] <- "Congo (Kinshasa)"
UN_Population[98, "COUNTRY"] <- "Iran"
UN_Population[112, "COUNTRY"] <- "Laos"
UN_Population[138, "COUNTRY"] <- "Burma"
UN_Population[162, "COUNTRY"] <- "Korea, South"
UN_Population[163, "COUNTRY"] <- "Moldova"
UN_Population[165, "COUNTRY"] <- "Russia"
UN_Population[196, "COUNTRY"] <- "Syria"
UN_Population[212, "COUNTRY"] <- "Tanzania"
UN_Population[213, "COUNTRY"] <- "US"
UN_Population[217, "COUNTRY"] <- "Venezuela"
UN_Population[218, "COUNTRY"] <- "Vietnam"

# I subset the file to only include the nations in our final data.
UN_Population <- subset(UN_Population, is.element(UN_Population$COUNTRY, Temporary_Data_Country$COUNTRY))

# Lastly, I join the two dataframes. Note, we lose some observations using inner join (Western Sahara, West Bank and Gaza, MS Zaandam, Kosovo, Diamond Princess, and the Central African Republic.). However, we are not interested in these nations for the purposes of our sample.
Temporary_Data_Country <- inner_join(Temporary_Data_Country, UN_Population)

## Joining, by = "COUNTRY"

# This allows me to calculate our variable of interest: the mortality rate per capita (for both total deaths, and new deaths).
Temporary_Data_Country$Total_Mortality_Rate_Per_Capita = (Temporary_Data_Country$Total_Deceased_Country / Temporary_Data_Country$Population)

Temporary_Data_Country$New_Mortality_Rate_Per_Capita = (Temporary_Data_Country$New_Total_Deceased_Country / Temporary_Data_Country$Population)

# We might also be interested in cases per capita.
Temporary_Data_Country$Total_Cases_Country_Per_Capita = (Temporary_Data_Country$Total_Cases_Country / Temporary_Data_Country$Population)

# Lastly, I want to create a rolling average of the total and new mortality rates per capita, new confirmed cases, and new deaths. This is a bit complicated, so bear with me.

# First, I order the data by country and date.
Temporary_Data_Country <- Temporary_Data_Country[order(Temporary_Data_Country$COUNTRY, Temporary_Data_Country$Date),]

# I then construct a seven-day rolling average of confirmed cases, deaths, and both types of mortality rates by country.
Temporary_Data_Country <- Temporary_Data_Country %>%
  group_by(COUNTRY) %>%
  mutate(rolling_average_confirmed = frollmean(New_Confirmed_Country, 7))
Temporary_Data_Country <- Temporary_Data_Country %>%
  group_by(COUNTRY) %>%
  mutate(rolling_average_deceased= frollmean(New_Total_Deceased_Country, 7))
Temporary_Data_Country <- Temporary_Data_Country %>%
  group_by(COUNTRY) %>%
  mutate(total_rolling_average_mortality = frollmean(Total_Mortality_Rate_Per_Capita, 7))
Temporary_Data_Country <- Temporary_Data_Country %>%
  group_by(COUNTRY) %>%
  mutate(new_rolling_average_mortality = frollmean(New_Mortality_Rate_Per_Capita, 7))

# The seven-day rolling average works well, but the algorithm only gives an output after the first week (as we need seven prior values for the sake of our calculation). Ideally, we would want these missing values to have their own rolling averages (i.e. a rolling average of two days for the second date in our dataset; or a rolling average of five days for the fifth date). To do this, I first create a new dataframe with our missing values from the initial seven-day rolling average.
Missing_Mean_Confirmed <- Temporary_Data_Country[which(is.na(Temporary_Data_Country$rolling_average_confirmed)), ]
Missing_Mean_Total_Deceased_Country <- Temporary_Data_Country[which(is.na(Temporary_Data_Country$rolling_average_deceased)), ]
Missing_Mean_Total_Mortality <- Temporary_Data_Country[which(is.na(Temporary_Data_Country$total_rolling_average_mortality)), ]
Missing_Mean_New_Mortality <- Temporary_Data_Country[which(is.na(Temporary_Data_Country$new_rolling_average_mortality)), ]

# Next, I calculate a "new" rolling average for each of our nations, using the roll apply function. The syntax is complicated; but essentially this command allows the user the freedom to vary rolling averages by different "windows" of dates (i.e. three-day average vs. six-day average).
Missing_Mean_Confirmed <- Missing_Mean_Confirmed %>% 
  group_by(COUNTRY) %>%
  mutate(rolling_average_confirmed2 = rollapply(New_Confirmed_Country, 6, mean, na.rm = TRUE, fill = NA, align = 'right', partial=TRUE))
Missing_Mean_Total_Deceased_Country <- Missing_Mean_Total_Deceased_Country %>% 
  group_by(COUNTRY) %>%
  mutate(rolling_average_deceased2 = rollapply(New_Total_Deceased_Country, 6, mean, na.rm = TRUE, fill = NA, align = 'right', partial=TRUE))
Missing_Mean_Total_Mortality <- Missing_Mean_Total_Mortality %>% 
  group_by(COUNTRY) %>%
  mutate(total_rolling_average_mortality2 = rollapply(Total_Mortality_Rate_Per_Capita, 6, mean, na.rm = TRUE, fill = NA, align = 'right', partial=TRUE))
Missing_Mean_New_Mortality <- Missing_Mean_New_Mortality %>% 
  group_by(COUNTRY) %>%
  mutate(new_rolling_average_mortality2 = rollapply(New_Mortality_Rate_Per_Capita, 6, mean, na.rm = TRUE, fill = NA, align = 'right', partial=TRUE))

# We now want to merge this data back to our temporary file.
Temporary_Data_Country <- merge(Temporary_Data_Country, Missing_Mean_Confirmed, by = c("COUNTRY", "Date"), all=TRUE)
Temporary_Data_Country <- merge(Temporary_Data_Country, Missing_Mean_Total_Deceased_Country, by = c("COUNTRY", "Date"), all=TRUE)
Temporary_Data_Country <- merge(Temporary_Data_Country, Missing_Mean_Total_Mortality, by = c("COUNTRY", "Date"), all=TRUE)

## Warning in merge.data.frame(Temporary_Data_Country,
## Missing_Mean_Total_Mortality, : column names 'Total_Cases_Country.x',
## 'Total_Deceased_Country.x', 'New_Confirmed_Country.x',
## 'New_Total_Deceased_Country.x', 'Location.x', 'Population.x',
## 'Total_Mortality_Rate_Per_Capita.x', 'New_Mortality_Rate_Per_Capita.x',
## 'Total_Cases_Country_Per_Capita.x', 'rolling_average_confirmed.x',
## 'rolling_average_deceased.x', 'total_rolling_average_mortality.x',
## 'new_rolling_average_mortality.x', 'Total_Cases_Country.y',
## 'Total_Deceased_Country.y', 'New_Confirmed_Country.y',
## 'New_Total_Deceased_Country.y', 'Location.y', 'Population.y',
## 'Total_Mortality_Rate_Per_Capita.y', 'New_Mortality_Rate_Per_Capita.y',
## 'Total_Cases_Country_Per_Capita.y', 'rolling_average_confirmed.y',
## 'rolling_average_deceased.y', 'total_rolling_average_mortality.y',
## 'new_rolling_average_mortality.y' are duplicated in the result

Temporary_Data_Country <- merge(Temporary_Data_Country, Missing_Mean_New_Mortality, by = c("COUNTRY", "Date"), all=TRUE)

## Warning in merge.data.frame(Temporary_Data_Country,
## Missing_Mean_New_Mortality, : column names 'Total_Cases_Country.x',
## 'Total_Deceased_Country.x', 'New_Confirmed_Country.x',
## 'New_Total_Deceased_Country.x', 'Location.x', 'Population.x',
## 'Total_Mortality_Rate_Per_Capita.x', 'New_Mortality_Rate_Per_Capita.x',
## 'Total_Cases_Country_Per_Capita.x', 'rolling_average_confirmed.x',
## 'rolling_average_deceased.x', 'total_rolling_average_mortality.x',
## 'new_rolling_average_mortality.x', 'Total_Cases_Country.y',
## 'Total_Deceased_Country.y', 'New_Confirmed_Country.y',
## 'New_Total_Deceased_Country.y', 'Location.y', 'Population.y',
## 'Total_Mortality_Rate_Per_Capita.y', 'New_Mortality_Rate_Per_Capita.y',
## 'Total_Cases_Country_Per_Capita.y', 'rolling_average_confirmed.y',
## 'rolling_average_deceased.y', 'total_rolling_average_mortality.y',
## 'new_rolling_average_mortality.y' are duplicated in the result

# Lastly, we can replace the missing values in our temporary file (for the confirmed rolling averages prior to one week) with the newly calculated "partial" rolling averages. We then replace all missing values with zero (the only missing values which remain are for our first day, when naturally no new cases will be recorded, or, in the case of our rolling average for the mortality rate, for dates in which we don't yet have a recorded case).
Temporary_Data_Country$rolling_average_confirmed.x[is.na(Temporary_Data_Country$rolling_average_confirmed.x)] <- Temporary_Data_Country$rolling_average_confirmed2[is.na(Temporary_Data_Country$rolling_average_confirmed.x)]
Temporary_Data_Country$rolling_average_confirmed.x[is.na(Temporary_Data_Country$rolling_average_confirmed.x)] <- 0
Temporary_Data_Country$rolling_average_confirmed <- Temporary_Data_Country$rolling_average_confirmed.x
Temporary_Data_Country$rolling_average_deceased.x[is.na(Temporary_Data_Country$rolling_average_deceased.x)] <- Temporary_Data_Country$rolling_average_deceased2[is.na(Temporary_Data_Country$rolling_average_deceased.x)]
Temporary_Data_Country$rolling_average_deceased.x[is.na(Temporary_Data_Country$rolling_average_deceased.x)] <- 0
Temporary_Data_Country$rolling_average_deceased <- Temporary_Data_Country$rolling_average_deceased.x
Temporary_Data_Country$total_rolling_average_mortality.x[is.na(Temporary_Data_Country$total_rolling_average_mortality.x)] <- Temporary_Data_Country$total_rolling_average_mortality2[is.na(Temporary_Data_Country$total_rolling_average_mortality.x)]
Temporary_Data_Country$total_rolling_average_mortality.x[is.na(Temporary_Data_Country$total_rolling_average_mortality.x)] <- 0
Temporary_Data_Country$total_rolling_average_mortality <- Temporary_Data_Country$total_rolling_average_mortality.x
Temporary_Data_Country$new_rolling_average_mortality.x[is.na(Temporary_Data_Country$new_rolling_average_mortality.x)] <- Temporary_Data_Country$new_rolling_average_mortality2[is.na(Temporary_Data_Country$new_rolling_average_mortality.x)]
Temporary_Data_Country$new_rolling_average_mortality.x[is.na(Temporary_Data_Country$new_rolling_average_mortality.x)] <- 0
Temporary_Data_Country$new_rolling_average_mortality <- Temporary_Data_Country$new_rolling_average_mortality.x

# I only keep columns we care about (which are not repetitive).
Temporary_Data_Country$Total_Cases_Country <- Temporary_Data_Country$Total_Cases_Country.x
Temporary_Data_Country$Total_Deceased_Country <- Temporary_Data_Country$Total_Deceased_Country.x
Temporary_Data_Country$New_Confirmed_Country <- Temporary_Data_Country$New_Confirmed_Country.x
Temporary_Data_Country$New_Total_Deceased_Country <- Temporary_Data_Country$New_Total_Deceased_Country.x
Temporary_Data_Country$Death_Rate <- Temporary_Data_Country$Death_Rate.x
Temporary_Data_Country$Total_Mortality_Rate_Per_Capita <- Temporary_Data_Country$Total_Mortality_Rate_Per_Capita.x
Temporary_Data_Country$New_Mortality_Rate_Per_Capita <- Temporary_Data_Country$New_Mortality_Rate_Per_Capita.x
Temporary_Data_Country$Location <- Temporary_Data_Country$Location.x
Temporary_Data_Country$Population <- Temporary_Data_Country$Population.x
Temporary_Data_Country$Total_Cases_Country_Per_Capita <- Temporary_Data_Country$Total_Cases_Country_Per_Capita.x
Temporary_Data_Country$rolling_average_confirmed <- Temporary_Data_Country$rolling_average_confirmed.x
Temporary_Data_Country$rolling_average_deceased <- Temporary_Data_Country$rolling_average_deceased.x
Temporary_Data_Country$total_rolling_average_mortality <- Temporary_Data_Country$total_rolling_average_mortality.x
Temporary_Data_Country$new_rolling_average_mortality <- Temporary_Data_Country$new_rolling_average_mortality.x

colnames(Temporary_Data_Country)

##  [1] "COUNTRY"                           "Date"                             
##  [3] "Total_Cases_Country.x"             "Total_Deceased_Country.x"         
##  [5] "New_Confirmed_Country.x"           "New_Total_Deceased_Country.x"     
##  [7] "Location.x"                        "Population.x"                     
##  [9] "Total_Mortality_Rate_Per_Capita.x" "New_Mortality_Rate_Per_Capita.x"  
## [11] "Total_Cases_Country_Per_Capita.x"  "rolling_average_confirmed.x"      
## [13] "rolling_average_deceased.x"        "total_rolling_average_mortality.x"
## [15] "new_rolling_average_mortality.x"   "Total_Cases_Country.y"            
## [17] "Total_Deceased_Country.y"          "New_Confirmed_Country.y"          
## [19] "New_Total_Deceased_Country.y"      "Location.y"                       
## [21] "Population.y"                      "Total_Mortality_Rate_Per_Capita.y"
## [23] "New_Mortality_Rate_Per_Capita.y"   "Total_Cases_Country_Per_Capita.y" 
## [25] "rolling_average_confirmed.y"       "rolling_average_deceased.y"       
## [27] "total_rolling_average_mortality.y" "new_rolling_average_mortality.y"  
## [29] "rolling_average_confirmed2"        "Total_Cases_Country.x"            
## [31] "Total_Deceased_Country.x"          "New_Confirmed_Country.x"          
## [33] "New_Total_Deceased_Country.x"      "Location.x"                       
## [35] "Population.x"                      "Total_Mortality_Rate_Per_Capita.x"
## [37] "New_Mortality_Rate_Per_Capita.x"   "Total_Cases_Country_Per_Capita.x" 
## [39] "rolling_average_confirmed.x"       "rolling_average_deceased.x"       
## [41] "total_rolling_average_mortality.x" "new_rolling_average_mortality.x"  
## [43] "rolling_average_deceased2"         "Total_Cases_Country.y"            
## [45] "Total_Deceased_Country.y"          "New_Confirmed_Country.y"          
## [47] "New_Total_Deceased_Country.y"      "Location.y"                       
## [49] "Population.y"                      "Total_Mortality_Rate_Per_Capita.y"
## [51] "New_Mortality_Rate_Per_Capita.y"   "Total_Cases_Country_Per_Capita.y" 
## [53] "rolling_average_confirmed.y"       "rolling_average_deceased.y"       
## [55] "total_rolling_average_mortality.y" "new_rolling_average_mortality.y"  
## [57] "total_rolling_average_mortality2"  "Total_Cases_Country"              
## [59] "Total_Deceased_Country"            "New_Confirmed_Country"            
## [61] "New_Total_Deceased_Country"        "Location"                         
## [63] "Population"                        "Total_Mortality_Rate_Per_Capita"  
## [65] "New_Mortality_Rate_Per_Capita"     "Total_Cases_Country_Per_Capita"   
## [67] "rolling_average_confirmed"         "rolling_average_deceased"         
## [69] "total_rolling_average_mortality"   "new_rolling_average_mortality"    
## [71] "new_rolling_average_mortality2"

myvarstemp <- c("COUNTRY", "Date", "Total_Cases_Country", "Total_Deceased_Country", "New_Confirmed_Country", "New_Total_Deceased_Country", "Population", "Total_Mortality_Rate_Per_Capita", "New_Mortality_Rate_Per_Capita", "Total_Cases_Country_Per_Capita", "rolling_average_confirmed", "rolling_average_deceased", "total_rolling_average_mortality", "new_rolling_average_mortality")
Temporary_Data_Country <- Temporary_Data_Country[myvarstemp]

colnames(Temporary_Data_Country)

##  [1] "COUNTRY"                         "Date"                           
##  [3] "Total_Cases_Country"             "Total_Deceased_Country"         
##  [5] "New_Confirmed_Country"           "New_Total_Deceased_Country"     
##  [7] "Population"                      "Total_Mortality_Rate_Per_Capita"
##  [9] "New_Mortality_Rate_Per_Capita"   "Total_Cases_Country_Per_Capita" 
## [11] "rolling_average_confirmed"       "rolling_average_deceased"       
## [13] "total_rolling_average_mortality" "new_rolling_average_mortality"

Here, I add coordinates for each nation in the dataset.

# When we collapse the COVID data to the country level, we lose our coordinate data. I now merge a dataset on global coordinates by country from: https://developers.google.com/public-data/docs/canonical/countries_csv. Note that I edited country names to match the data in the CSV itself.

Country_Coordinates <- read.csv("data/Country_Coordinates.csv")

Country_Coordinates$COUNTRY <- Country_Coordinates$Country

Country_Coordinates$latitude <- Country_Coordinates$Latitude 
Country_Coordinates$longitude <- Country_Coordinates$Longitude 

colnames(Country_Coordinates)

## [1] "Latitude"  "Longitude" "Country"   "COUNTRY"   "latitude"  "longitude"

myvarscoords <- c("COUNTRY", "latitude", "longitude")
Country_Coordinates <- Country_Coordinates[myvarscoords]

# Lastly, I merge the two dataframes.
Temporary_Data_Country <- merge(Temporary_Data_Country, Country_Coordinates, by = c("COUNTRY"), all=TRUE)

Labelling and saving our temporary data.

# I load the following two libraries in order to label our variables.
library(lattice)
library(Hmisc)

## Loading required package: survival

## 
## Attaching package: 'survival'

## The following object is masked from 'package:caret':
## 
##     cluster

## Loading required package: Formula

## 
## Attaching package: 'Hmisc'

## The following object is masked from 'package:quantmod':
## 
##     Lag

## The following object is masked from 'package:psych':
## 
##     describe

## The following objects are masked from 'package:summarytools':
## 
##     label, label<-

## The following object is masked from 'package:plotly':
## 
##     subplot

## The following objects are masked from 'package:dplyr':
## 
##     src, summarize

## The following objects are masked from 'package:base':
## 
##     format.pval, units

label(Temporary_Data_Country$Total_Cases_Country) <- "Cumulative Sum of Confirmed Cases by Country (John Hopkins)"
label(Temporary_Data_Country$Total_Deceased_Country) <- "Cumulative Sum of Deaths by Country (John Hopkins)"
label(Temporary_Data_Country$New_Confirmed_Country) <- "Daily Increase in Confirmed Cases (John Hopkins)"
label(Temporary_Data_Country$New_Total_Deceased_Country) <- "Daily Increase in Deaths (John Hopkins)"
label(Temporary_Data_Country$Total_Mortality_Rate_Per_Capita) <- "Total Deaths by Population (Total_Deceased_Country/Population)"
label(Temporary_Data_Country$New_Mortality_Rate_Per_Capita) <- "New Deaths by Population (New_Total_Deceased_Country/Population)"
label(Temporary_Data_Country$Total_Cases_Country_Per_Capita) <- "Total Cases by Population (Total_Cases_Country/Population)"
label(Temporary_Data_Country$rolling_average_confirmed) <- "Seven Day Rolling Average of New Confirmed Cases by Country (with the exception of Days 1-7)"
label(Temporary_Data_Country$rolling_average_deceased) <- "Seven Day Rolling Average of New Deaths by Country (with the exception of Days 1-7)"
label(Temporary_Data_Country$total_rolling_average_mortality) <- "Seven Day Rolling Average of Total Case Mortality Rate by Country (with the exception of Days 1-7)"
label(Temporary_Data_Country$new_rolling_average_mortality) <- "Seven Day Rolling Average of New Case Mortality Rate by Country (with the exception of Days 1-7)"

Merging our government data and temporary data to create a final dataframe.

# Now, I want to merge our temporary data with the Oxford dataset on global policy responses. Please see a description of the variables here: https://www.bsg.ox.ac.uk/sites/default/files/2020-04/BSG-WP-2020-032-v5.0_0.pdf. 
# The source is: Hale, Thomas, Anna Petherick, Toby Phillips, Samuel Webster. “Variation in Government Responses to COVID-19” Version 5.0. Blavatnik School of Government Working Paper. April 28, 2020. Available: www.bsg.ox.ac.uk/covidtracker.
# See https://www.bsg.ox.ac.uk/sites/default/files/Calculation%20and%20presentation%20of%20the%20Stringency%20Index.pdf for information on how the stringency index was calculated.

Government_Responses <- read_csv("data/Government_Responses.csv")

## Parsed with column specification:
## cols(
##   .default = col_double(),
##   CountryName = col_character(),
##   CountryCode = col_character(),
##   M1_Wildcard = col_logical()
## )

## See spec(...) for full column specifications.

# First, I convert the date to a proper format.
Government_Responses$Date <- ymd(Government_Responses$Date, quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"),
  truncated = 0)
order(Government_Responses$Date)

##     [1]     1   168   335   502   669   836  1003  1170  1337  1504  1671  1838
##    [13]  2005  2172  2339  2506  2673  2840  3007  3174  3341  3508  3675  3842
##    [25]  4009  4176  4343  4510  4677  4844  5011  5178  5345  5512  5679  5846
##    [37]  6013  6180  6347  6514  6681  6848  7015  7182  7349  7516  7683  7850
##    [49]  8017  8184  8351  8518  8685  8852  9019  9186  9353  9520  9687  9854
##    [61] 10021 10276 10443 10610 10777 10944 11111 11278 11445 11611 11778 11945
##    [73] 12112 12279 12446 12613 12780 12947 13114 13281 13448 13615 13782 13949
##    [85] 14116 14283 14450 14617 14784 14951 15118 15285 15452 15619 15786 15953
##    [97] 16120 16287 16559 16725 16892 17059 17226 17393 17560 17727 17894 18061
##   [109] 18228 18395 18562 18729 18896 19063 19230 19397 19564 19731 19898 20065
##   [121] 20232 20399 20566 20733 20900 21067 21234 21401 21568 21735 21902 22069
##   [133] 22236 22403 22570 22737 22904 23071 23238 23402 23569 23736 23903 24070
##   [145] 24237 24404 24571 24738 24905 25072 25239 25406 25573 25740 25907 26074
##   [157] 26234 26401 26568 26735 26902 27069 27236 27403 27570 27737 27904 28071
##   [169] 28238 28405 28572 28739 28906 29073 29240     2   169   336   503   670
##   [181]   837  1004  1171  1338  1505  1672  1839  2006  2173  2340  2507  2674
##   [193]  2841  3008  3175  3342  3509  3676  3843  4010  4177  4344  4511  4678
##   [205]  4845  5012  5179  5346  5513  5680  5847  6014  6181  6348  6515  6682
##   [217]  6849  7016  7183  7350  7517  7684  7851  8018  8185  8352  8519  8686
##   [229]  8853  9020  9187  9354  9521  9688  9855 10022 10277 10444 10611 10778
##   [241] 10945 11112 11279 11446 11612 11779 11946 12113 12280 12447 12614 12781
##   [253] 12948 13115 13282 13449 13616 13783 13950 14117 14284 14451 14618 14785
##   [265] 14952 15119 15286 15453 15620 15787 15954 16121 16288 16560 16726 16893
##   [277] 17060 17227 17394 17561 17728 17895 18062 18229 18396 18563 18730 18897
##   [289] 19064 19231 19398 19565 19732 19899 20066 20233 20400 20567 20734 20901
##   [301] 21068 21235 21402 21569 21736 21903 22070 22237 22404 22571 22738 22905
##   [313] 23072 23239 23403 23570 23737 23904 24071 24238 24405 24572 24739 24906
##   [325] 25073 25240 25407 25574 25741 25908 26075 26235 26402 26569 26736 26903
##   [337] 27070 27237 27404 27571 27738 27905 28072 28239 28406 28573 28740 28907
##   [349] 29074 29241     3   170   337   504   671   838  1005  1172  1339  1506
##   [361]  1673  1840  2007  2174  2341  2508  2675  2842  3009  3176  3343  3510
##   [373]  3677  3844  4011  4178  4345  4512  4679  4846  5013  5180  5347  5514
##   [385]  5681  5848  6015  6182  6349  6516  6683  6850  7017  7184  7351  7518
##   [397]  7685  7852  8019  8186  8353  8520  8687  8854  9021  9188  9355  9522
##   [409]  9689  9856 10023 10278 10445 10612 10779 10946 11113 11280 11447 11613
##   [421] 11780 11947 12114 12281 12448 12615 12782 12949 13116 13283 13450 13617
##   [433] 13784 13951 14118 14285 14452 14619 14786 14953 15120 15287 15454 15621
##   [445] 15788 15955 16122 16289 16561 16727 16894 17061 17228 17395 17562 17729
##   [457] 17896 18063 18230 18397 18564 18731 18898 19065 19232 19399 19566 19733
##   [469] 19900 20067 20234 20401 20568 20735 20902 21069 21236 21403 21570 21737
##   [481] 21904 22071 22238 22405 22572 22739 22906 23073 23240 23404 23571 23738
##   [493] 23905 24072 24239 24406 24573 24740 24907 25074 25241 25408 25575 25742
##   [505] 25909 26076 26236 26403 26570 26737 26904 27071 27238 27405 27572 27739
##   [517] 27906 28073 28240 28407 28574 28741 28908 29075 29242     4   171   338
##   [529]   505   672   839  1006  1173  1340  1507  1674  1841  2008  2175  2342
##   [541]  2509  2676  2843  3010  3177  3344  3511  3678  3845  4012  4179  4346
##   [553]  4513  4680  4847  5014  5181  5348  5515  5682  5849  6016  6183  6350
##   [565]  6517  6684  6851  7018  7185  7352  7519  7686  7853  8020  8187  8354
##   [577]  8521  8688  8855  9022  9189  9356  9523  9690  9857 10024 10279 10446
##   [589] 10613 10780 10947 11114 11281 11448 11614 11781 11948 12115 12282 12449
##   [601] 12616 12783 12950 13117 13284 13451 13618 13785 13952 14119 14286 14453
##   [613] 14620 14787 14954 15121 15288 15455 15622 15789 15956 16123 16290 16562
##   [625] 16728 16895 17062 17229 17396 17563 17730 17897 18064 18231 18398 18565
##   [637] 18732 18899 19066 19233 19400 19567 19734 19901 20068 20235 20402 20569
##   [649] 20736 20903 21070 21237 21404 21571 21738 21905 22072 22239 22406 22573
##   [661] 22740 22907 23074 23241 23405 23572 23739 23906 24073 24240 24407 24574
##   [673] 24741 24908 25075 25242 25409 25576 25743 25910 26077 26237 26404 26571
##   [685] 26738 26905 27072 27239 27406 27573 27740 27907 28074 28241 28408 28575
##   [697] 28742 28909 29076 29243     5   172   339   506   673   840  1007  1174
##   [709]  1341  1508  1675  1842  2009  2176  2343  2510  2677  2844  3011  3178
##   [721]  3345  3512  3679  3846  4013  4180  4347  4514  4681  4848  5015  5182
##   [733]  5349  5516  5683  5850  6017  6184  6351  6518  6685  6852  7019  7186
##   [745]  7353  7520  7687  7854  8021  8188  8355  8522  8689  8856  9023  9190
##   [757]  9357  9524  9691  9858 10025 10280 10447 10614 10781 10948 11115 11282
##   [769] 11449 11615 11782 11949 12116 12283 12450 12617 12784 12951 13118 13285
##   [781] 13452 13619 13786 13953 14120 14287 14454 14621 14788 14955 15122 15289
##   [793] 15456 15623 15790 15957 16124 16291 16563 16729 16896 17063 17230 17397
##   [805] 17564 17731 17898 18065 18232 18399 18566 18733 18900 19067 19234 19401
##   [817] 19568 19735 19902 20069 20236 20403 20570 20737 20904 21071 21238 21405
##   [829] 21572 21739 21906 22073 22240 22407 22574 22741 22908 23075 23242 23406
##   [841] 23573 23740 23907 24074 24241 24408 24575 24742 24909 25076 25243 25410
##   [853] 25577 25744 25911 26078 26238 26405 26572 26739 26906 27073 27240 27407
##   [865] 27574 27741 27908 28075 28242 28409 28576 28743 28910 29077 29244     6
##   [877]   173   340   507   674   841  1008  1175  1342  1509  1676  1843  2010
##   [889]  2177  2344  2511  2678  2845  3012  3179  3346  3513  3680  3847  4014
##   [901]  4181  4348  4515  4682  4849  5016  5183  5350  5517  5684  5851  6018
##   [913]  6185  6352  6519  6686  6853  7020  7187  7354  7521  7688  7855  8022
##   [925]  8189  8356  8523  8690  8857  9024  9191  9358  9525  9692  9859 10026
##   [937] 10281 10448 10615 10782 10949 11116 11283 11450 11616 11783 11950 12117
##   [949] 12284 12451 12618 12785 12952 13119 13286 13453 13620 13787 13954 14121
##   [961] 14288 14455 14622 14789 14956 15123 15290 15457 15624 15791 15958 16125
##   [973] 16292 16564 16730 16897 17064 17231 17398 17565 17732 17899 18066 18233
##   [985] 18400 18567 18734 18901 19068 19235 19402 19569 19736 19903 20070 20237
##   [997] 20404 20571 20738 20905 21072 21239 21406 21573 21740 21907 22074 22241
##  [1009] 22408 22575 22742 22909 23076 23243 23407 23574 23741 23908 24075 24242
##  [1021] 24409 24576 24743 24910 25077 25244 25411 25578 25745 25912 26079 26239
##  [1033] 26406 26573 26740 26907 27074 27241 27408 27575 27742 27909 28076 28243
##  [1045] 28410 28577 28744 28911 29078 29245     7   174   341   508   675   842
##  [1057]  1009  1176  1343  1510  1677  1844  2011  2178  2345  2512  2679  2846
##  [1069]  3013  3180  3347  3514  3681  3848  4015  4182  4349  4516  4683  4850
##  [1081]  5017  5184  5351  5518  5685  5852  6019  6186  6353  6520  6687  6854
##  [1093]  7021  7188  7355  7522  7689  7856  8023  8190  8357  8524  8691  8858
##  [1105]  9025  9192  9359  9526  9693  9860 10027 10282 10449 10616 10783 10950
##  [1117] 11117 11284 11451 11617 11784 11951 12118 12285 12452 12619 12786 12953
##  [1129] 13120 13287 13454 13621 13788 13955 14122 14289 14456 14623 14790 14957
##  [1141] 15124 15291 15458 15625 15792 15959 16126 16293 16565 16731 16898 17065
##  [1153] 17232 17399 17566 17733 17900 18067 18234 18401 18568 18735 18902 19069
##  [1165] 19236 19403 19570 19737 19904 20071 20238 20405 20572 20739 20906 21073
##  [1177] 21240 21407 21574 21741 21908 22075 22242 22409 22576 22743 22910 23077
##  [1189] 23244 23408 23575 23742 23909 24076 24243 24410 24577 24744 24911 25078
##  [1201] 25245 25412 25579 25746 25913 26080 26240 26407 26574 26741 26908 27075
##  [1213] 27242 27409 27576 27743 27910 28077 28244 28411 28578 28745 28912 29079
##  [1225] 29246     8   175   342   509   676   843  1010  1177  1344  1511  1678
##  [1237]  1845  2012  2179  2346  2513  2680  2847  3014  3181  3348  3515  3682
##  [1249]  3849  4016  4183  4350  4517  4684  4851  5018  5185  5352  5519  5686
##  [1261]  5853  6020  6187  6354  6521  6688  6855  7022  7189  7356  7523  7690
##  [1273]  7857  8024  8191  8358  8525  8692  8859  9026  9193  9360  9527  9694
##  [1285]  9861 10028 10283 10450 10617 10784 10951 11118 11285 11452 11618 11785
##  [1297] 11952 12119 12286 12453 12620 12787 12954 13121 13288 13455 13622 13789
##  [1309] 13956 14123 14290 14457 14624 14791 14958 15125 15292 15459 15626 15793
##  [1321] 15960 16127 16294 16566 16732 16899 17066 17233 17400 17567 17734 17901
##  [1333] 18068 18235 18402 18569 18736 18903 19070 19237 19404 19571 19738 19905
##  [1345] 20072 20239 20406 20573 20740 20907 21074 21241 21408 21575 21742 21909
##  [1357] 22076 22243 22410 22577 22744 22911 23078 23245 23409 23576 23743 23910
##  [1369] 24077 24244 24411 24578 24745 24912 25079 25246 25413 25580 25747 25914
##  [1381] 26081 26241 26408 26575 26742 26909 27076 27243 27410 27577 27744 27911
##  [1393] 28078 28245 28412 28579 28746 28913 29080 29247     9   176   343   510
##  [1405]   677   844  1011  1178  1345  1512  1679  1846  2013  2180  2347  2514
##  [1417]  2681  2848  3015  3182  3349  3516  3683  3850  4017  4184  4351  4518
##  [1429]  4685  4852  5019  5186  5353  5520  5687  5854  6021  6188  6355  6522
##  [1441]  6689  6856  7023  7190  7357  7524  7691  7858  8025  8192  8359  8526
##  [1453]  8693  8860  9027  9194  9361  9528  9695  9862 10029 10284 10451 10618
##  [1465] 10785 10952 11119 11286 11453 11619 11786 11953 12120 12287 12454 12621
##  [1477] 12788 12955 13122 13289 13456 13623 13790 13957 14124 14291 14458 14625
##  [1489] 14792 14959 15126 15293 15460 15627 15794 15961 16128 16295 16567 16733
##  [1501] 16900 17067 17234 17401 17568 17735 17902 18069 18236 18403 18570 18737
##  [1513] 18904 19071 19238 19405 19572 19739 19906 20073 20240 20407 20574 20741
##  [1525] 20908 21075 21242 21409 21576 21743 21910 22077 22244 22411 22578 22745
##  [1537] 22912 23079 23246 23410 23577 23744 23911 24078 24245 24412 24579 24746
##  [1549] 24913 25080 25247 25414 25581 25748 25915 26082 26242 26409 26576 26743
##  [1561] 26910 27077 27244 27411 27578 27745 27912 28079 28246 28413 28580 28747
##  [1573] 28914 29081 29248    10   177   344   511   678   845  1012  1179  1346
##  [1585]  1513  1680  1847  2014  2181  2348  2515  2682  2849  3016  3183  3350
##  [1597]  3517  3684  3851  4018  4185  4352  4519  4686  4853  5020  5187  5354
##  [1609]  5521  5688  5855  6022  6189  6356  6523  6690  6857  7024  7191  7358
##  [1621]  7525  7692  7859  8026  8193  8360  8527  8694  8861  9028  9195  9362
##  [1633]  9529  9696  9863 10030 10285 10452 10619 10786 10953 11120 11287 11454
##  [1645] 11620 11787 11954 12121 12288 12455 12622 12789 12956 13123 13290 13457
##  [1657] 13624 13791 13958 14125 14292 14459 14626 14793 14960 15127 15294 15461
##  [1669] 15628 15795 15962 16129 16296 16568 16734 16901 17068 17235 17402 17569
##  [1681] 17736 17903 18070 18237 18404 18571 18738 18905 19072 19239 19406 19573
##  [1693] 19740 19907 20074 20241 20408 20575 20742 20909 21076 21243 21410 21577
##  [1705] 21744 21911 22078 22245 22412 22579 22746 22913 23080 23247 23411 23578
##  [1717] 23745 23912 24079 24246 24413 24580 24747 24914 25081 25248 25415 25582
##  [1729] 25749 25916 26083 26243 26410 26577 26744 26911 27078 27245 27412 27579
##  [1741] 27746 27913 28080 28247 28414 28581 28748 28915 29082 29249    11   178
##  [1753]   345   512   679   846  1013  1180  1347  1514  1681  1848  2015  2182
##  [1765]  2349  2516  2683  2850  3017  3184  3351  3518  3685  3852  4019  4186
##  [1777]  4353  4520  4687  4854  5021  5188  5355  5522  5689  5856  6023  6190
##  [1789]  6357  6524  6691  6858  7025  7192  7359  7526  7693  7860  8027  8194
##  [1801]  8361  8528  8695  8862  9029  9196  9363  9530  9697  9864 10031 10286
##  [1813] 10453 10620 10787 10954 11121 11288 11455 11621 11788 11955 12122 12289
##  [1825] 12456 12623 12790 12957 13124 13291 13458 13625 13792 13959 14126 14293
##  [1837] 14460 14627 14794 14961 15128 15295 15462 15629 15796 15963 16130 16297
##  [1849] 16569 16735 16902 17069 17236 17403 17570 17737 17904 18071 18238 18405
##  [1861] 18572 18739 18906 19073 19240 19407 19574 19741 19908 20075 20242 20409
##  [1873] 20576 20743 20910 21077 21244 21411 21578 21745 21912 22079 22246 22413
##  [1885] 22580 22747 22914 23081 23248 23412 23579 23746 23913 24080 24247 24414
##  [1897] 24581 24748 24915 25082 25249 25416 25583 25750 25917 26084 26244 26411
##  [1909] 26578 26745 26912 27079 27246 27413 27580 27747 27914 28081 28248 28415
##  [1921] 28582 28749 28916 29083 29250    12   179   346   513   680   847  1014
##  [1933]  1181  1348  1515  1682  1849  2016  2183  2350  2517  2684  2851  3018
##  [1945]  3185  3352  3519  3686  3853  4020  4187  4354  4521  4688  4855  5022
##  [1957]  5189  5356  5523  5690  5857  6024  6191  6358  6525  6692  6859  7026
##  [1969]  7193  7360  7527  7694  7861  8028  8195  8362  8529  8696  8863  9030
##  [1981]  9197  9364  9531  9698  9865 10032 10287 10454 10621 10788 10955 11122
##  [1993] 11289 11456 11622 11789 11956 12123 12290 12457 12624 12791 12958 13125
##  [2005] 13292 13459 13626 13793 13960 14127 14294 14461 14628 14795 14962 15129
##  [2017] 15296 15463 15630 15797 15964 16131 16298 16570 16736 16903 17070 17237
##  [2029] 17404 17571 17738 17905 18072 18239 18406 18573 18740 18907 19074 19241
##  [2041] 19408 19575 19742 19909 20076 20243 20410 20577 20744 20911 21078 21245
##  [2053] 21412 21579 21746 21913 22080 22247 22414 22581 22748 22915 23082 23249
##  [2065] 23413 23580 23747 23914 24081 24248 24415 24582 24749 24916 25083 25250
##  [2077] 25417 25584 25751 25918 26085 26245 26412 26579 26746 26913 27080 27247
##  [2089] 27414 27581 27748 27915 28082 28249 28416 28583 28750 28917 29084 29251
##  [2101]    13   180   347   514   681   848  1015  1182  1349  1516  1683  1850
##  [2113]  2017  2184  2351  2518  2685  2852  3019  3186  3353  3520  3687  3854
##  [2125]  4021  4188  4355  4522  4689  4856  5023  5190  5357  5524  5691  5858
##  [2137]  6025  6192  6359  6526  6693  6860  7027  7194  7361  7528  7695  7862
##  [2149]  8029  8196  8363  8530  8697  8864  9031  9198  9365  9532  9699  9866
##  [2161] 10033 10288 10455 10622 10789 10956 11123 11290 11457 11623 11790 11957
##  [2173] 12124 12291 12458 12625 12792 12959 13126 13293 13460 13627 13794 13961
##  [2185] 14128 14295 14462 14629 14796 14963 15130 15297 15464 15631 15798 15965
##  [2197] 16132 16299 16571 16737 16904 17071 17238 17405 17572 17739 17906 18073
##  [2209] 18240 18407 18574 18741 18908 19075 19242 19409 19576 19743 19910 20077
##  [2221] 20244 20411 20578 20745 20912 21079 21246 21413 21580 21747 21914 22081
##  [2233] 22248 22415 22582 22749 22916 23083 23250 23414 23581 23748 23915 24082
##  [2245] 24249 24416 24583 24750 24917 25084 25251 25418 25585 25752 25919 26086
##  [2257] 26246 26413 26580 26747 26914 27081 27248 27415 27582 27749 27916 28083
##  [2269] 28250 28417 28584 28751 28918 29085 29252    14   181   348   515   682
##  [2281]   849  1016  1183  1350  1517  1684  1851  2018  2185  2352  2519  2686
##  [2293]  2853  3020  3187  3354  3521  3688  3855  4022  4189  4356  4523  4690
##  [2305]  4857  5024  5191  5358  5525  5692  5859  6026  6193  6360  6527  6694
##  [2317]  6861  7028  7195  7362  7529  7696  7863  8030  8197  8364  8531  8698
##  [2329]  8865  9032  9199  9366  9533  9700  9867 10034 10289 10456 10623 10790
##  [2341] 10957 11124 11291 11458 11624 11791 11958 12125 12292 12459 12626 12793
##  [2353] 12960 13127 13294 13461 13628 13795 13962 14129 14296 14463 14630 14797
##  [2365] 14964 15131 15298 15465 15632 15799 15966 16133 16300 16572 16738 16905
##  [2377] 17072 17239 17406 17573 17740 17907 18074 18241 18408 18575 18742 18909
##  [2389] 19076 19243 19410 19577 19744 19911 20078 20245 20412 20579 20746 20913
##  [2401] 21080 21247 21414 21581 21748 21915 22082 22249 22416 22583 22750 22917
##  [2413] 23084 23251 23415 23582 23749 23916 24083 24250 24417 24584 24751 24918
##  [2425] 25085 25252 25419 25586 25753 25920 26087 26247 26414 26581 26748 26915
##  [2437] 27082 27249 27416 27583 27750 27917 28084 28251 28418 28585 28752 28919
##  [2449] 29086 29253    15   182   349   516   683   850  1017  1184  1351  1518
##  [2461]  1685  1852  2019  2186  2353  2520  2687  2854  3021  3188  3355  3522
##  [2473]  3689  3856  4023  4190  4357  4524  4691  4858  5025  5192  5359  5526
##  [2485]  5693  5860  6027  6194  6361  6528  6695  6862  7029  7196  7363  7530
##  [2497]  7697  7864  8031  8198  8365  8532  8699  8866  9033  9200  9367  9534
##  [2509]  9701  9868 10035 10290 10457 10624 10791 10958 11125 11292 11459 11625
##  [2521] 11792 11959 12126 12293 12460 12627 12794 12961 13128 13295 13462 13629
##  [2533] 13796 13963 14130 14297 14464 14631 14798 14965 15132 15299 15466 15633
##  [2545] 15800 15967 16134 16301 16573 16739 16906 17073 17240 17407 17574 17741
##  [2557] 17908 18075 18242 18409 18576 18743 18910 19077 19244 19411 19578 19745
##  [2569] 19912 20079 20246 20413 20580 20747 20914 21081 21248 21415 21582 21749
##  [2581] 21916 22083 22250 22417 22584 22751 22918 23085 23252 23416 23583 23750
##  [2593] 23917 24084 24251 24418 24585 24752 24919 25086 25253 25420 25587 25754
##  [2605] 25921 26088 26248 26415 26582 26749 26916 27083 27250 27417 27584 27751
##  [2617] 27918 28085 28252 28419 28586 28753 28920 29087 29254    16   183   350
##  [2629]   517   684   851  1018  1185  1352  1519  1686  1853  2020  2187  2354
##  [2641]  2521  2688  2855  3022  3189  3356  3523  3690  3857  4024  4191  4358
##  [2653]  4525  4692  4859  5026  5193  5360  5527  5694  5861  6028  6195  6362
##  [2665]  6529  6696  6863  7030  7197  7364  7531  7698  7865  8032  8199  8366
##  [2677]  8533  8700  8867  9034  9201  9368  9535  9702  9869 10036 10291 10458
##  [2689] 10625 10792 10959 11126 11293 11460 11626 11793 11960 12127 12294 12461
##  [2701] 12628 12795 12962 13129 13296 13463 13630 13797 13964 14131 14298 14465
##  [2713] 14632 14799 14966 15133 15300 15467 15634 15801 15968 16135 16302 16574
##  [2725] 16740 16907 17074 17241 17408 17575 17742 17909 18076 18243 18410 18577
##  [2737] 18744 18911 19078 19245 19412 19579 19746 19913 20080 20247 20414 20581
##  [2749] 20748 20915 21082 21249 21416 21583 21750 21917 22084 22251 22418 22585
##  [2761] 22752 22919 23086 23253 23417 23584 23751 23918 24085 24252 24419 24586
##  [2773] 24753 24920 25087 25254 25421 25588 25755 25922 26089 26249 26416 26583
##  [2785] 26750 26917 27084 27251 27418 27585 27752 27919 28086 28253 28420 28587
##  [2797] 28754 28921 29088 29255    17   184   351   518   685   852  1019  1186
##  [2809]  1353  1520  1687  1854  2021  2188  2355  2522  2689  2856  3023  3190
##  [2821]  3357  3524  3691  3858  4025  4192  4359  4526  4693  4860  5027  5194
##  [2833]  5361  5528  5695  5862  6029  6196  6363  6530  6697  6864  7031  7198
##  [2845]  7365  7532  7699  7866  8033  8200  8367  8534  8701  8868  9035  9202
##  [2857]  9369  9536  9703  9870 10037 10292 10459 10626 10793 10960 11127 11294
##  [2869] 11461 11627 11794 11961 12128 12295 12462 12629 12796 12963 13130 13297
##  [2881] 13464 13631 13798 13965 14132 14299 14466 14633 14800 14967 15134 15301
##  [2893] 15468 15635 15802 15969 16136 16303 16575 16741 16908 17075 17242 17409
##  [2905] 17576 17743 17910 18077 18244 18411 18578 18745 18912 19079 19246 19413
##  [2917] 19580 19747 19914 20081 20248 20415 20582 20749 20916 21083 21250 21417
##  [2929] 21584 21751 21918 22085 22252 22419 22586 22753 22920 23087 23254 23418
##  [2941] 23585 23752 23919 24086 24253 24420 24587 24754 24921 25088 25255 25422
##  [2953] 25589 25756 25923 26090 26250 26417 26584 26751 26918 27085 27252 27419
##  [2965] 27586 27753 27920 28087 28254 28421 28588 28755 28922 29089 29256    18
##  [2977]   185   352   519   686   853  1020  1187  1354  1521  1688  1855  2022
##  [2989]  2189  2356  2523  2690  2857  3024  3191  3358  3525  3692  3859  4026
##  [3001]  4193  4360  4527  4694  4861  5028  5195  5362  5529  5696  5863  6030
##  [3013]  6197  6364  6531  6698  6865  7032  7199  7366  7533  7700  7867  8034
##  [3025]  8201  8368  8535  8702  8869  9036  9203  9370  9537  9704  9871 10038
##  [3037] 10293 10460 10627 10794 10961 11128 11295 11462 11628 11795 11962 12129
##  [3049] 12296 12463 12630 12797 12964 13131 13298 13465 13632 13799 13966 14133
##  [3061] 14300 14467 14634 14801 14968 15135 15302 15469 15636 15803 15970 16137
##  [3073] 16304 16576 16742 16909 17076 17243 17410 17577 17744 17911 18078 18245
##  [3085] 18412 18579 18746 18913 19080 19247 19414 19581 19748 19915 20082 20249
##  [3097] 20416 20583 20750 20917 21084 21251 21418 21585 21752 21919 22086 22253
##  [3109] 22420 22587 22754 22921 23088 23255 23419 23586 23753 23920 24087 24254
##  [3121] 24421 24588 24755 24922 25089 25256 25423 25590 25757 25924 26091 26251
##  [3133] 26418 26585 26752 26919 27086 27253 27420 27587 27754 27921 28088 28255
##  [3145] 28422 28589 28756 28923 29090 29257    19   186   353   520   687   854
##  [3157]  1021  1188  1355  1522  1689  1856  2023  2190  2357  2524  2691  2858
##  [3169]  3025  3192  3359  3526  3693  3860  4027  4194  4361  4528  4695  4862
##  [3181]  5029  5196  5363  5530  5697  5864  6031  6198  6365  6532  6699  6866
##  [3193]  7033  7200  7367  7534  7701  7868  8035  8202  8369  8536  8703  8870
##  [3205]  9037  9204  9371  9538  9705  9872 10039 10294 10461 10628 10795 10962
##  [3217] 11129 11296 11463 11629 11796 11963 12130 12297 12464 12631 12798 12965
##  [3229] 13132 13299 13466 13633 13800 13967 14134 14301 14468 14635 14802 14969
##  [3241] 15136 15303 15470 15637 15804 15971 16138 16305 16577 16743 16910 17077
##  [3253] 17244 17411 17578 17745 17912 18079 18246 18413 18580 18747 18914 19081
##  [3265] 19248 19415 19582 19749 19916 20083 20250 20417 20584 20751 20918 21085
##  [3277] 21252 21419 21586 21753 21920 22087 22254 22421 22588 22755 22922 23089
##  [3289] 23256 23420 23587 23754 23921 24088 24255 24422 24589 24756 24923 25090
##  [3301] 25257 25424 25591 25758 25925 26092 26252 26419 26586 26753 26920 27087
##  [3313] 27254 27421 27588 27755 27922 28089 28256 28423 28590 28757 28924 29091
##  [3325] 29258    20   187   354   521   688   855  1022  1189  1356  1523  1690
##  [3337]  1857  2024  2191  2358  2525  2692  2859  3026  3193  3360  3527  3694
##  [3349]  3861  4028  4195  4362  4529  4696  4863  5030  5197  5364  5531  5698
##  [3361]  5865  6032  6199  6366  6533  6700  6867  7034  7201  7368  7535  7702
##  [3373]  7869  8036  8203  8370  8537  8704  8871  9038  9205  9372  9539  9706
##  [3385]  9873 10040 10295 10462 10629 10796 10963 11130 11297 11464 11630 11797
##  [3397] 11964 12131 12298 12465 12632 12799 12966 13133 13300 13467 13634 13801
##  [3409] 13968 14135 14302 14469 14636 14803 14970 15137 15304 15471 15638 15805
##  [3421] 15972 16139 16306 16578 16744 16911 17078 17245 17412 17579 17746 17913
##  [3433] 18080 18247 18414 18581 18748 18915 19082 19249 19416 19583 19750 19917
##  [3445] 20084 20251 20418 20585 20752 20919 21086 21253 21420 21587 21754 21921
##  [3457] 22088 22255 22422 22589 22756 22923 23090 23257 23421 23588 23755 23922
##  [3469] 24089 24256 24423 24590 24757 24924 25091 25258 25425 25592 25759 25926
##  [3481] 26093 26253 26420 26587 26754 26921 27088 27255 27422 27589 27756 27923
##  [3493] 28090 28257 28424 28591 28758 28925 29092 29259    21   188   355   522
##  [3505]   689   856  1023  1190  1357  1524  1691  1858  2025  2192  2359  2526
##  [3517]  2693  2860  3027  3194  3361  3528  3695  3862  4029  4196  4363  4530
##  [3529]  4697  4864  5031  5198  5365  5532  5699  5866  6033  6200  6367  6534
##  [3541]  6701  6868  7035  7202  7369  7536  7703  7870  8037  8204  8371  8538
##  [3553]  8705  8872  9039  9206  9373  9540  9707  9874 10041 10296 10463 10630
##  [3565] 10797 10964 11131 11298 11465 11631 11798 11965 12132 12299 12466 12633
##  [3577] 12800 12967 13134 13301 13468 13635 13802 13969 14136 14303 14470 14637
##  [3589] 14804 14971 15138 15305 15472 15639 15806 15973 16140 16307 16579 16745
##  [3601] 16912 17079 17246 17413 17580 17747 17914 18081 18248 18415 18582 18749
##  [3613] 18916 19083 19250 19417 19584 19751 19918 20085 20252 20419 20586 20753
##  [3625] 20920 21087 21254 21421 21588 21755 21922 22089 22256 22423 22590 22757
##  [3637] 22924 23091 23258 23422 23589 23756 23923 24090 24257 24424 24591 24758
##  [3649] 24925 25092 25259 25426 25593 25760 25927 26094 26254 26421 26588 26755
##  [3661] 26922 27089 27256 27423 27590 27757 27924 28091 28258 28425 28592 28759
##  [3673] 28926 29093 29260    22   189   356   523   690   857  1024  1191  1358
##  [3685]  1525  1692  1859  2026  2193  2360  2527  2694  2861  3028  3195  3362
##  [3697]  3529  3696  3863  4030  4197  4364  4531  4698  4865  5032  5199  5366
##  [3709]  5533  5700  5867  6034  6201  6368  6535  6702  6869  7036  7203  7370
##  [3721]  7537  7704  7871  8038  8205  8372  8539  8706  8873  9040  9207  9374
##  [3733]  9541  9708  9875 10042 10297 10464 10631 10798 10965 11132 11299 11466
##  [3745] 11632 11799 11966 12133 12300 12467 12634 12801 12968 13135 13302 13469
##  [3757] 13636 13803 13970 14137 14304 14471 14638 14805 14972 15139 15306 15473
##  [3769] 15640 15807 15974 16141 16308 16580 16746 16913 17080 17247 17414 17581
##  [3781] 17748 17915 18082 18249 18416 18583 18750 18917 19084 19251 19418 19585
##  [3793] 19752 19919 20086 20253 20420 20587 20754 20921 21088 21255 21422 21589
##  [3805] 21756 21923 22090 22257 22424 22591 22758 22925 23092 23259 23423 23590
##  [3817] 23757 23924 24091 24258 24425 24592 24759 24926 25093 25260 25427 25594
##  [3829] 25761 25928 26095 26255 26422 26589 26756 26923 27090 27257 27424 27591
##  [3841] 27758 27925 28092 28259 28426 28593 28760 28927 29094 29261    23   190
##  [3853]   357   524   691   858  1025  1192  1359  1526  1693  1860  2027  2194
##  [3865]  2361  2528  2695  2862  3029  3196  3363  3530  3697  3864  4031  4198
##  [3877]  4365  4532  4699  4866  5033  5200  5367  5534  5701  5868  6035  6202
##  [3889]  6369  6536  6703  6870  7037  7204  7371  7538  7705  7872  8039  8206
##  [3901]  8373  8540  8707  8874  9041  9208  9375  9542  9709  9876 10043 10298
##  [3913] 10465 10632 10799 10966 11133 11300 11467 11633 11800 11967 12134 12301
##  [3925] 12468 12635 12802 12969 13136 13303 13470 13637 13804 13971 14138 14305
##  [3937] 14472 14639 14806 14973 15140 15307 15474 15641 15808 15975 16142 16309
##  [3949] 16581 16747 16914 17081 17248 17415 17582 17749 17916 18083 18250 18417
##  [3961] 18584 18751 18918 19085 19252 19419 19586 19753 19920 20087 20254 20421
##  [3973] 20588 20755 20922 21089 21256 21423 21590 21757 21924 22091 22258 22425
##  [3985] 22592 22759 22926 23093 23260 23424 23591 23758 23925 24092 24259 24426
##  [3997] 24593 24760 24927 25094 25261 25428 25595 25762 25929 26096 26256 26423
##  [4009] 26590 26757 26924 27091 27258 27425 27592 27759 27926 28093 28260 28427
##  [4021] 28594 28761 28928 29095 29262    24   191   358   525   692   859  1026
##  [4033]  1193  1360  1527  1694  1861  2028  2195  2362  2529  2696  2863  3030
##  [4045]  3197  3364  3531  3698  3865  4032  4199  4366  4533  4700  4867  5034
##  [4057]  5201  5368  5535  5702  5869  6036  6203  6370  6537  6704  6871  7038
##  [4069]  7205  7372  7539  7706  7873  8040  8207  8374  8541  8708  8875  9042
##  [4081]  9209  9376  9543  9710  9877 10044 10299 10466 10633 10800 10967 11134
##  [4093] 11301 11468 11634 11801 11968 12135 12302 12469 12636 12803 12970 13137
##  [4105] 13304 13471 13638 13805 13972 14139 14306 14473 14640 14807 14974 15141
##  [4117] 15308 15475 15642 15809 15976 16143 16310 16582 16748 16915 17082 17249
##  [4129] 17416 17583 17750 17917 18084 18251 18418 18585 18752 18919 19086 19253
##  [4141] 19420 19587 19754 19921 20088 20255 20422 20589 20756 20923 21090 21257
##  [4153] 21424 21591 21758 21925 22092 22259 22426 22593 22760 22927 23094 23261
##  [4165] 23425 23592 23759 23926 24093 24260 24427 24594 24761 24928 25095 25262
##  [4177] 25429 25596 25763 25930 26097 26257 26424 26591 26758 26925 27092 27259
##  [4189] 27426 27593 27760 27927 28094 28261 28428 28595 28762 28929 29096 29263
##  [4201]    25   192   359   526   693   860  1027  1194  1361  1528  1695  1862
##  [4213]  2029  2196  2363  2530  2697  2864  3031  3198  3365  3532  3699  3866
##  [4225]  4033  4200  4367  4534  4701  4868  5035  5202  5369  5536  5703  5870
##  [4237]  6037  6204  6371  6538  6705  6872  7039  7206  7373  7540  7707  7874
##  [4249]  8041  8208  8375  8542  8709  8876  9043  9210  9377  9544  9711  9878
##  [4261] 10045 10300 10467 10634 10801 10968 11135 11302 11469 11635 11802 11969
##  [4273] 12136 12303 12470 12637 12804 12971 13138 13305 13472 13639 13806 13973
##  [4285] 14140 14307 14474 14641 14808 14975 15142 15309 15476 15643 15810 15977
##  [4297] 16144 16311 16583 16749 16916 17083 17250 17417 17584 17751 17918 18085
##  [4309] 18252 18419 18586 18753 18920 19087 19254 19421 19588 19755 19922 20089
##  [4321] 20256 20423 20590 20757 20924 21091 21258 21425 21592 21759 21926 22093
##  [4333] 22260 22427 22594 22761 22928 23095 23262 23426 23593 23760 23927 24094
##  [4345] 24261 24428 24595 24762 24929 25096 25263 25430 25597 25764 25931 26098
##  [4357] 26258 26425 26592 26759 26926 27093 27260 27427 27594 27761 27928 28095
##  [4369] 28262 28429 28596 28763 28930 29097 29264    26   193   360   527   694
##  [4381]   861  1028  1195  1362  1529  1696  1863  2030  2197  2364  2531  2698
##  [4393]  2865  3032  3199  3366  3533  3700  3867  4034  4201  4368  4535  4702
##  [4405]  4869  5036  5203  5370  5537  5704  5871  6038  6205  6372  6539  6706
##  [4417]  6873  7040  7207  7374  7541  7708  7875  8042  8209  8376  8543  8710
##  [4429]  8877  9044  9211  9378  9545  9712  9879 10046 10301 10468 10635 10802
##  [4441] 10969 11136 11303 11470 11636 11803 11970 12137 12304 12471 12638 12805
##  [4453] 12972 13139 13306 13473 13640 13807 13974 14141 14308 14475 14642 14809
##  [4465] 14976 15143 15310 15477 15644 15811 15978 16145 16312 16584 16750 16917
##  [4477] 17084 17251 17418 17585 17752 17919 18086 18253 18420 18587 18754 18921
##  [4489] 19088 19255 19422 19589 19756 19923 20090 20257 20424 20591 20758 20925
##  [4501] 21092 21259 21426 21593 21760 21927 22094 22261 22428 22595 22762 22929
##  [4513] 23096 23263 23427 23594 23761 23928 24095 24262 24429 24596 24763 24930
##  [4525] 25097 25264 25431 25598 25765 25932 26099 26259 26426 26593 26760 26927
##  [4537] 27094 27261 27428 27595 27762 27929 28096 28263 28430 28597 28764 28931
##  [4549] 29098 29265    27   194   361   528   695   862  1029  1196  1363  1530
##  [4561]  1697  1864  2031  2198  2365  2532  2699  2866  3033  3200  3367  3534
##  [4573]  3701  3868  4035  4202  4369  4536  4703  4870  5037  5204  5371  5538
##  [4585]  5705  5872  6039  6206  6373  6540  6707  6874  7041  7208  7375  7542
##  [4597]  7709  7876  8043  8210  8377  8544  8711  8878  9045  9212  9379  9546
##  [4609]  9713  9880 10047 10302 10469 10636 10803 10970 11137 11304 11471 11637
##  [4621] 11804 11971 12138 12305 12472 12639 12806 12973 13140 13307 13474 13641
##  [4633] 13808 13975 14142 14309 14476 14643 14810 14977 15144 15311 15478 15645
##  [4645] 15812 15979 16146 16313 16585 16751 16918 17085 17252 17419 17586 17753
##  [4657] 17920 18087 18254 18421 18588 18755 18922 19089 19256 19423 19590 19757
##  [4669] 19924 20091 20258 20425 20592 20759 20926 21093 21260 21427 21594 21761
##  [4681] 21928 22095 22262 22429 22596 22763 22930 23097 23264 23428 23595 23762
##  [4693] 23929 24096 24263 24430 24597 24764 24931 25098 25265 25432 25599 25766
##  [4705] 25933 26100 26260 26427 26594 26761 26928 27095 27262 27429 27596 27763
##  [4717] 27930 28097 28264 28431 28598 28765 28932 29099 29266    28   195   362
##  [4729]   529   696   863  1030  1197  1364  1531  1698  1865  2032  2199  2366
##  [4741]  2533  2700  2867  3034  3201  3368  3535  3702  3869  4036  4203  4370
##  [4753]  4537  4704  4871  5038  5205  5372  5539  5706  5873  6040  6207  6374
##  [4765]  6541  6708  6875  7042  7209  7376  7543  7710  7877  8044  8211  8378
##  [4777]  8545  8712  8879  9046  9213  9380  9547  9714  9881 10048 10303 10470
##  [4789] 10637 10804 10971 11138 11305 11472 11638 11805 11972 12139 12306 12473
##  [4801] 12640 12807 12974 13141 13308 13475 13642 13809 13976 14143 14310 14477
##  [4813] 14644 14811 14978 15145 15312 15479 15646 15813 15980 16147 16314 16586
##  [4825] 16752 16919 17086 17253 17420 17587 17754 17921 18088 18255 18422 18589
##  [4837] 18756 18923 19090 19257 19424 19591 19758 19925 20092 20259 20426 20593
##  [4849] 20760 20927 21094 21261 21428 21595 21762 21929 22096 22263 22430 22597
##  [4861] 22764 22931 23098 23265 23429 23596 23763 23930 24097 24264 24431 24598
##  [4873] 24765 24932 25099 25266 25433 25600 25767 25934 26101 26261 26428 26595
##  [4885] 26762 26929 27096 27263 27430 27597 27764 27931 28098 28265 28432 28599
##  [4897] 28766 28933 29100 29267    29   196   363   530   697   864  1031  1198
##  [4909]  1365  1532  1699  1866  2033  2200  2367  2534  2701  2868  3035  3202
##  [4921]  3369  3536  3703  3870  4037  4204  4371  4538  4705  4872  5039  5206
##  [4933]  5373  5540  5707  5874  6041  6208  6375  6542  6709  6876  7043  7210
##  [4945]  7377  7544  7711  7878  8045  8212  8379  8546  8713  8880  9047  9214
##  [4957]  9381  9548  9715  9882 10049 10304 10471 10638 10805 10972 11139 11306
##  [4969] 11473 11639 11806 11973 12140 12307 12474 12641 12808 12975 13142 13309
##  [4981] 13476 13643 13810 13977 14144 14311 14478 14645 14812 14979 15146 15313
##  [4993] 15480 15647 15814 15981 16148 16315 16587 16753 16920 17087 17254 17421
##  [5005] 17588 17755 17922 18089 18256 18423 18590 18757 18924 19091 19258 19425
##  [5017] 19592 19759 19926 20093 20260 20427 20594 20761 20928 21095 21262 21429
##  [5029] 21596 21763 21930 22097 22264 22431 22598 22765 22932 23099 23266 23430
##  [5041] 23597 23764 23931 24098 24265 24432 24599 24766 24933 25100 25267 25434
##  [5053] 25601 25768 25935 26102 26262 26429 26596 26763 26930 27097 27264 27431
##  [5065] 27598 27765 27932 28099 28266 28433 28600 28767 28934 29101 29268    30
##  [5077]   197   364   531   698   865  1032  1199  1366  1533  1700  1867  2034
##  [5089]  2201  2368  2535  2702  2869  3036  3203  3370  3537  3704  3871  4038
##  [5101]  4205  4372  4539  4706  4873  5040  5207  5374  5541  5708  5875  6042
##  [5113]  6209  6376  6543  6710  6877  7044  7211  7378  7545  7712  7879  8046
##  [5125]  8213  8380  8547  8714  8881  9048  9215  9382  9549  9716  9883 10050
##  [5137] 10305 10472 10639 10806 10973 11140 11307 11474 11640 11807 11974 12141
##  [5149] 12308 12475 12642 12809 12976 13143 13310 13477 13644 13811 13978 14145
##  [5161] 14312 14479 14646 14813 14980 15147 15314 15481 15648 15815 15982 16149
##  [5173] 16316 16588 16754 16921 17088 17255 17422 17589 17756 17923 18090 18257
##  [5185] 18424 18591 18758 18925 19092 19259 19426 19593 19760 19927 20094 20261
##  [5197] 20428 20595 20762 20929 21096 21263 21430 21597 21764 21931 22098 22265
##  [5209] 22432 22599 22766 22933 23100 23267 23431 23598 23765 23932 24099 24266
##  [5221] 24433 24600 24767 24934 25101 25268 25435 25602 25769 25936 26103 26263
##  [5233] 26430 26597 26764 26931 27098 27265 27432 27599 27766 27933 28100 28267
##  [5245] 28434 28601 28768 28935 29102 29269    31   198   365   532   699   866
##  [5257]  1033  1200  1367  1534  1701  1868  2035  2202  2369  2536  2703  2870
##  [5269]  3037  3204  3371  3538  3705  3872  4039  4206  4373  4540  4707  4874
##  [5281]  5041  5208  5375  5542  5709  5876  6043  6210  6377  6544  6711  6878
##  [5293]  7045  7212  7379  7546  7713  7880  8047  8214  8381  8548  8715  8882
##  [5305]  9049  9216  9383  9550  9717  9884 10051 10306 10473 10640 10807 10974
##  [5317] 11141 11308 11475 11641 11808 11975 12142 12309 12476 12643 12810 12977
##  [5329] 13144 13311 13478 13645 13812 13979 14146 14313 14480 14647 14814 14981
##  [5341] 15148 15315 15482 15649 15816 15983 16150 16317 16589 16755 16922 17089
##  [5353] 17256 17423 17590 17757 17924 18091 18258 18425 18592 18759 18926 19093
##  [5365] 19260 19427 19594 19761 19928 20095 20262 20429 20596 20763 20930 21097
##  [5377] 21264 21431 21598 21765 21932 22099 22266 22433 22600 22767 22934 23101
##  [5389] 23268 23432 23599 23766 23933 24100 24267 24434 24601 24768 24935 25102
##  [5401] 25269 25436 25603 25770 25937 26104 26264 26431 26598 26765 26932 27099
##  [5413] 27266 27433 27600 27767 27934 28101 28268 28435 28602 28769 28936 29103
##  [5425] 29270    32   199   366   533   700   867  1034  1201  1368  1535  1702
##  [5437]  1869  2036  2203  2370  2537  2704  2871  3038  3205  3372  3539  3706
##  [5449]  3873  4040  4207  4374  4541  4708  4875  5042  5209  5376  5543  5710
##  [5461]  5877  6044  6211  6378  6545  6712  6879  7046  7213  7380  7547  7714
##  [5473]  7881  8048  8215  8382  8549  8716  8883  9050  9217  9384  9551  9718
##  [5485]  9885 10052 10307 10474 10641 10808 10975 11142 11309 11476 11642 11809
##  [5497] 11976 12143 12310 12477 12644 12811 12978 13145 13312 13479 13646 13813
##  [5509] 13980 14147 14314 14481 14648 14815 14982 15149 15316 15483 15650 15817
##  [5521] 15984 16151 16318 16590 16756 16923 17090 17257 17424 17591 17758 17925
##  [5533] 18092 18259 18426 18593 18760 18927 19094 19261 19428 19595 19762 19929
##  [5545] 20096 20263 20430 20597 20764 20931 21098 21265 21432 21599 21766 21933
##  [5557] 22100 22267 22434 22601 22768 22935 23102 23269 23433 23600 23767 23934
##  [5569] 24101 24268 24435 24602 24769 24936 25103 25270 25437 25604 25771 25938
##  [5581] 26105 26265 26432 26599 26766 26933 27100 27267 27434 27601 27768 27935
##  [5593] 28102 28269 28436 28603 28770 28937 29104 29271    33   200   367   534
##  [5605]   701   868  1035  1202  1369  1536  1703  1870  2037  2204  2371  2538
##  [5617]  2705  2872  3039  3206  3373  3540  3707  3874  4041  4208  4375  4542
##  [5629]  4709  4876  5043  5210  5377  5544  5711  5878  6045  6212  6379  6546
##  [5641]  6713  6880  7047  7214  7381  7548  7715  7882  8049  8216  8383  8550
##  [5653]  8717  8884  9051  9218  9385  9552  9719  9886 10053 10308 10475 10642
##  [5665] 10809 10976 11143 11310 11477 11643 11810 11977 12144 12311 12478 12645
##  [5677] 12812 12979 13146 13313 13480 13647 13814 13981 14148 14315 14482 14649
##  [5689] 14816 14983 15150 15317 15484 15651 15818 15985 16152 16319 16591 16757
##  [5701] 16924 17091 17258 17425 17592 17759 17926 18093 18260 18427 18594 18761
##  [5713] 18928 19095 19262 19429 19596 19763 19930 20097 20264 20431 20598 20765
##  [5725] 20932 21099 21266 21433 21600 21767 21934 22101 22268 22435 22602 22769
##  [5737] 22936 23103 23270 23434 23601 23768 23935 24102 24269 24436 24603 24770
##  [5749] 24937 25104 25271 25438 25605 25772 25939 26106 26266 26433 26600 26767
##  [5761] 26934 27101 27268 27435 27602 27769 27936 28103 28270 28437 28604 28771
##  [5773] 28938 29105 29272    34   201   368   535   702   869  1036  1203  1370
##  [5785]  1537  1704  1871  2038  2205  2372  2539  2706  2873  3040  3207  3374
##  [5797]  3541  3708  3875  4042  4209  4376  4543  4710  4877  5044  5211  5378
##  [5809]  5545  5712  5879  6046  6213  6380  6547  6714  6881  7048  7215  7382
##  [5821]  7549  7716  7883  8050  8217  8384  8551  8718  8885  9052  9219  9386
##  [5833]  9553  9720  9887 10054 10309 10476 10643 10810 10977 11144 11311 11478
##  [5845] 11644 11811 11978 12145 12312 12479 12646 12813 12980 13147 13314 13481
##  [5857] 13648 13815 13982 14149 14316 14483 14650 14817 14984 15151 15318 15485
##  [5869] 15652 15819 15986 16153 16320 16592 16758 16925 17092 17259 17426 17593
##  [5881] 17760 17927 18094 18261 18428 18595 18762 18929 19096 19263 19430 19597
##  [5893] 19764 19931 20098 20265 20432 20599 20766 20933 21100 21267 21434 21601
##  [5905] 21768 21935 22102 22269 22436 22603 22770 22937 23104 23271 23435 23602
##  [5917] 23769 23936 24103 24270 24437 24604 24771 24938 25105 25272 25439 25606
##  [5929] 25773 25940 26107 26267 26434 26601 26768 26935 27102 27269 27436 27603
##  [5941] 27770 27937 28104 28271 28438 28605 28772 28939 29106 29273    35   202
##  [5953]   369   536   703   870  1037  1204  1371  1538  1705  1872  2039  2206
##  [5965]  2373  2540  2707  2874  3041  3208  3375  3542  3709  3876  4043  4210
##  [5977]  4377  4544  4711  4878  5045  5212  5379  5546  5713  5880  6047  6214
##  [5989]  6381  6548  6715  6882  7049  7216  7383  7550  7717  7884  8051  8218
##  [6001]  8385  8552  8719  8886  9053  9220  9387  9554  9721  9888 10055 10310
##  [6013] 10477 10644 10811 10978 11145 11312 11479 11645 11812 11979 12146 12313
##  [6025] 12480 12647 12814 12981 13148 13315 13482 13649 13816 13983 14150 14317
##  [6037] 14484 14651 14818 14985 15152 15319 15486 15653 15820 15987 16154 16321
##  [6049] 16593 16759 16926 17093 17260 17427 17594 17761 17928 18095 18262 18429
##  [6061] 18596 18763 18930 19097 19264 19431 19598 19765 19932 20099 20266 20433
##  [6073] 20600 20767 20934 21101 21268 21435 21602 21769 21936 22103 22270 22437
##  [6085] 22604 22771 22938 23105 23272 23436 23603 23770 23937 24104 24271 24438
##  [6097] 24605 24772 24939 25106 25273 25440 25607 25774 25941 26108 26268 26435
##  [6109] 26602 26769 26936 27103 27270 27437 27604 27771 27938 28105 28272 28439
##  [6121] 28606 28773 28940 29107 29274    36   203   370   537   704   871  1038
##  [6133]  1205  1372  1539  1706  1873  2040  2207  2374  2541  2708  2875  3042
##  [6145]  3209  3376  3543  3710  3877  4044  4211  4378  4545  4712  4879  5046
##  [6157]  5213  5380  5547  5714  5881  6048  6215  6382  6549  6716  6883  7050
##  [6169]  7217  7384  7551  7718  7885  8052  8219  8386  8553  8720  8887  9054
##  [6181]  9221  9388  9555  9722  9889 10056 10311 10478 10645 10812 10979 11146
##  [6193] 11313 11480 11646 11813 11980 12147 12314 12481 12648 12815 12982 13149
##  [6205] 13316 13483 13650 13817 13984 14151 14318 14485 14652 14819 14986 15153
##  [6217] 15320 15487 15654 15821 15988 16155 16322 16594 16760 16927 17094 17261
##  [6229] 17428 17595 17762 17929 18096 18263 18430 18597 18764 18931 19098 19265
##  [6241] 19432 19599 19766 19933 20100 20267 20434 20601 20768 20935 21102 21269
##  [6253] 21436 21603 21770 21937 22104 22271 22438 22605 22772 22939 23106 23273
##  [6265] 23437 23604 23771 23938 24105 24272 24439 24606 24773 24940 25107 25274
##  [6277] 25441 25608 25775 25942 26109 26269 26436 26603 26770 26937 27104 27271
##  [6289] 27438 27605 27772 27939 28106 28273 28440 28607 28774 28941 29108 29275
##  [6301]    37   204   371   538   705   872  1039  1206  1373  1540  1707  1874
##  [6313]  2041  2208  2375  2542  2709  2876  3043  3210  3377  3544  3711  3878
##  [6325]  4045  4212  4379  4546  4713  4880  5047  5214  5381  5548  5715  5882
##  [6337]  6049  6216  6383  6550  6717  6884  7051  7218  7385  7552  7719  7886
##  [6349]  8053  8220  8387  8554  8721  8888  9055  9222  9389  9556  9723  9890
##  [6361] 10057 10312 10479 10646 10813 10980 11147 11314 11481 11647 11814 11981
##  [6373] 12148 12315 12482 12649 12816 12983 13150 13317 13484 13651 13818 13985
##  [6385] 14152 14319 14486 14653 14820 14987 15154 15321 15488 15655 15822 15989
##  [6397] 16156 16323 16595 16761 16928 17095 17262 17429 17596 17763 17930 18097
##  [6409] 18264 18431 18598 18765 18932 19099 19266 19433 19600 19767 19934 20101
##  [6421] 20268 20435 20602 20769 20936 21103 21270 21437 21604 21771 21938 22105
##  [6433] 22272 22439 22606 22773 22940 23107 23274 23438 23605 23772 23939 24106
##  [6445] 24273 24440 24607 24774 24941 25108 25275 25442 25609 25776 25943 26110
##  [6457] 26270 26437 26604 26771 26938 27105 27272 27439 27606 27773 27940 28107
##  [6469] 28274 28441 28608 28775 28942 29109 29276    38   205   372   539   706
##  [6481]   873  1040  1207  1374  1541  1708  1875  2042  2209  2376  2543  2710
##  [6493]  2877  3044  3211  3378  3545  3712  3879  4046  4213  4380  4547  4714
##  [6505]  4881  5048  5215  5382  5549  5716  5883  6050  6217  6384  6551  6718
##  [6517]  6885  7052  7219  7386  7553  7720  7887  8054  8221  8388  8555  8722
##  [6529]  8889  9056  9223  9390  9557  9724  9891 10058 10313 10480 10647 10814
##  [6541] 10981 11148 11315 11482 11648 11815 11982 12149 12316 12483 12650 12817
##  [6553] 12984 13151 13318 13485 13652 13819 13986 14153 14320 14487 14654 14821
##  [6565] 14988 15155 15322 15489 15656 15823 15990 16157 16324 16596 16762 16929
##  [6577] 17096 17263 17430 17597 17764 17931 18098 18265 18432 18599 18766 18933
##  [6589] 19100 19267 19434 19601 19768 19935 20102 20269 20436 20603 20770 20937
##  [6601] 21104 21271 21438 21605 21772 21939 22106 22273 22440 22607 22774 22941
##  [6613] 23108 23275 23439 23606 23773 23940 24107 24274 24441 24608 24775 24942
##  [6625] 25109 25276 25443 25610 25777 25944 26111 26271 26438 26605 26772 26939
##  [6637] 27106 27273 27440 27607 27774 27941 28108 28275 28442 28609 28776 28943
##  [6649] 29110 29277    39   206   373   540   707   874  1041  1208  1375  1542
##  [6661]  1709  1876  2043  2210  2377  2544  2711  2878  3045  3212  3379  3546
##  [6673]  3713  3880  4047  4214  4381  4548  4715  4882  5049  5216  5383  5550
##  [6685]  5717  5884  6051  6218  6385  6552  6719  6886  7053  7220  7387  7554
##  [6697]  7721  7888  8055  8222  8389  8556  8723  8890  9057  9224  9391  9558
##  [6709]  9725  9892 10059 10314 10481 10648 10815 10982 11149 11316 11483 11649
##  [6721] 11816 11983 12150 12317 12484 12651 12818 12985 13152 13319 13486 13653
##  [6733] 13820 13987 14154 14321 14488 14655 14822 14989 15156 15323 15490 15657
##  [6745] 15824 15991 16158 16325 16597 16763 16930 17097 17264 17431 17598 17765
##  [6757] 17932 18099 18266 18433 18600 18767 18934 19101 19268 19435 19602 19769
##  [6769] 19936 20103 20270 20437 20604 20771 20938 21105 21272 21439 21606 21773
##  [6781] 21940 22107 22274 22441 22608 22775 22942 23109 23276 23440 23607 23774
##  [6793] 23941 24108 24275 24442 24609 24776 24943 25110 25277 25444 25611 25778
##  [6805] 25945 26112 26272 26439 26606 26773 26940 27107 27274 27441 27608 27775
##  [6817] 27942 28109 28276 28443 28610 28777 28944 29111 29278    40   207   374
##  [6829]   541   708   875  1042  1209  1376  1543  1710  1877  2044  2211  2378
##  [6841]  2545  2712  2879  3046  3213  3380  3547  3714  3881  4048  4215  4382
##  [6853]  4549  4716  4883  5050  5217  5384  5551  5718  5885  6052  6219  6386
##  [6865]  6553  6720  6887  7054  7221  7388  7555  7722  7889  8056  8223  8390
##  [6877]  8557  8724  8891  9058  9225  9392  9559  9726  9893 10060 10315 10482
##  [6889] 10649 10816 10983 11150 11317 11484 11650 11817 11984 12151 12318 12485
##  [6901] 12652 12819 12986 13153 13320 13487 13654 13821 13988 14155 14322 14489
##  [6913] 14656 14823 14990 15157 15324 15491 15658 15825 15992 16159 16326 16598
##  [6925] 16764 16931 17098 17265 17432 17599 17766 17933 18100 18267 18434 18601
##  [6937] 18768 18935 19102 19269 19436 19603 19770 19937 20104 20271 20438 20605
##  [6949] 20772 20939 21106 21273 21440 21607 21774 21941 22108 22275 22442 22609
##  [6961] 22776 22943 23110 23277 23441 23608 23775 23942 24109 24276 24443 24610
##  [6973] 24777 24944 25111 25278 25445 25612 25779 25946 26113 26273 26440 26607
##  [6985] 26774 26941 27108 27275 27442 27609 27776 27943 28110 28277 28444 28611
##  [6997] 28778 28945 29112 29279    41   208   375   542   709   876  1043  1210
##  [7009]  1377  1544  1711  1878  2045  2212  2379  2546  2713  2880  3047  3214
##  [7021]  3381  3548  3715  3882  4049  4216  4383  4550  4717  4884  5051  5218
##  [7033]  5385  5552  5719  5886  6053  6220  6387  6554  6721  6888  7055  7222
##  [7045]  7389  7556  7723  7890  8057  8224  8391  8558  8725  8892  9059  9226
##  [7057]  9393  9560  9727  9894 10061 10316 10483 10650 10817 10984 11151 11318
##  [7069] 11485 11651 11818 11985 12152 12319 12486 12653 12820 12987 13154 13321
##  [7081] 13488 13655 13822 13989 14156 14323 14490 14657 14824 14991 15158 15325
##  [7093] 15492 15659 15826 15993 16160 16327 16599 16765 16932 17099 17266 17433
##  [7105] 17600 17767 17934 18101 18268 18435 18602 18769 18936 19103 19270 19437
##  [7117] 19604 19771 19938 20105 20272 20439 20606 20773 20940 21107 21274 21441
##  [7129] 21608 21775 21942 22109 22276 22443 22610 22777 22944 23111 23278 23442
##  [7141] 23609 23776 23943 24110 24277 24444 24611 24778 24945 25112 25279 25446
##  [7153] 25613 25780 25947 26114 26274 26441 26608 26775 26942 27109 27276 27443
##  [7165] 27610 27777 27944 28111 28278 28445 28612 28779 28946 29113 29280    42
##  [7177]   209   376   543   710   877  1044  1211  1378  1545  1712  1879  2046
##  [7189]  2213  2380  2547  2714  2881  3048  3215  3382  3549  3716  3883  4050
##  [7201]  4217  4384  4551  4718  4885  5052  5219  5386  5553  5720  5887  6054
##  [7213]  6221  6388  6555  6722  6889  7056  7223  7390  7557  7724  7891  8058
##  [7225]  8225  8392  8559  8726  8893  9060  9227  9394  9561  9728  9895 10062
##  [7237] 10317 10484 10651 10818 10985 11152 11319 11486 11652 11819 11986 12153
##  [7249] 12320 12487 12654 12821 12988 13155 13322 13489 13656 13823 13990 14157
##  [7261] 14324 14491 14658 14825 14992 15159 15326 15493 15660 15827 15994 16161
##  [7273] 16328 16600 16766 16933 17100 17267 17434 17601 17768 17935 18102 18269
##  [7285] 18436 18603 18770 18937 19104 19271 19438 19605 19772 19939 20106 20273
##  [7297] 20440 20607 20774 20941 21108 21275 21442 21609 21776 21943 22110 22277
##  [7309] 22444 22611 22778 22945 23112 23279 23443 23610 23777 23944 24111 24278
##  [7321] 24445 24612 24779 24946 25113 25280 25447 25614 25781 25948 26115 26275
##  [7333] 26442 26609 26776 26943 27110 27277 27444 27611 27778 27945 28112 28279
##  [7345] 28446 28613 28780 28947 29114 29281    43   210   377   544   711   878
##  [7357]  1045  1212  1379  1546  1713  1880  2047  2214  2381  2548  2715  2882
##  [7369]  3049  3216  3383  3550  3717  3884  4051  4218  4385  4552  4719  4886
##  [7381]  5053  5220  5387  5554  5721  5888  6055  6222  6389  6556  6723  6890
##  [7393]  7057  7224  7391  7558  7725  7892  8059  8226  8393  8560  8727  8894
##  [7405]  9061  9228  9395  9562  9729  9896 10063 10318 10485 10652 10819 10986
##  [7417] 11153 11320 11487 11653 11820 11987 12154 12321 12488 12655 12822 12989
##  [7429] 13156 13323 13490 13657 13824 13991 14158 14325 14492 14659 14826 14993
##  [7441] 15160 15327 15494 15661 15828 15995 16162 16329 16601 16767 16934 17101
##  [7453] 17268 17435 17602 17769 17936 18103 18270 18437 18604 18771 18938 19105
##  [7465] 19272 19439 19606 19773 19940 20107 20274 20441 20608 20775 20942 21109
##  [7477] 21276 21443 21610 21777 21944 22111 22278 22445 22612 22779 22946 23113
##  [7489] 23280 23444 23611 23778 23945 24112 24279 24446 24613 24780 24947 25114
##  [7501] 25281 25448 25615 25782 25949 26116 26276 26443 26610 26777 26944 27111
##  [7513] 27278 27445 27612 27779 27946 28113 28280 28447 28614 28781 28948 29115
##  [7525] 29282    44   211   378   545   712   879  1046  1213  1380  1547  1714
##  [7537]  1881  2048  2215  2382  2549  2716  2883  3050  3217  3384  3551  3718
##  [7549]  3885  4052  4219  4386  4553  4720  4887  5054  5221  5388  5555  5722
##  [7561]  5889  6056  6223  6390  6557  6724  6891  7058  7225  7392  7559  7726
##  [7573]  7893  8060  8227  8394  8561  8728  8895  9062  9229  9396  9563  9730
##  [7585]  9897 10064 10319 10486 10653 10820 10987 11154 11321 11488 11654 11821
##  [7597] 11988 12155 12322 12489 12656 12823 12990 13157 13324 13491 13658 13825
##  [7609] 13992 14159 14326 14493 14660 14827 14994 15161 15328 15495 15662 15829
##  [7621] 15996 16163 16330 16602 16768 16935 17102 17269 17436 17603 17770 17937
##  [7633] 18104 18271 18438 18605 18772 18939 19106 19273 19440 19607 19774 19941
##  [7645] 20108 20275 20442 20609 20776 20943 21110 21277 21444 21611 21778 21945
##  [7657] 22112 22279 22446 22613 22780 22947 23114 23281 23445 23612 23779 23946
##  [7669] 24113 24280 24447 24614 24781 24948 25115 25282 25449 25616 25783 25950
##  [7681] 26117 26277 26444 26611 26778 26945 27112 27279 27446 27613 27780 27947
##  [7693] 28114 28281 28448 28615 28782 28949 29116 29283    45   212   379   546
##  [7705]   713   880  1047  1214  1381  1548  1715  1882  2049  2216  2383  2550
##  [7717]  2717  2884  3051  3218  3385  3552  3719  3886  4053  4220  4387  4554
##  [7729]  4721  4888  5055  5222  5389  5556  5723  5890  6057  6224  6391  6558
##  [7741]  6725  6892  7059  7226  7393  7560  7727  7894  8061  8228  8395  8562
##  [7753]  8729  8896  9063  9230  9397  9564  9731  9898 10065 10320 10487 10654
##  [7765] 10821 10988 11155 11322 11489 11655 11822 11989 12156 12323 12490 12657
##  [7777] 12824 12991 13158 13325 13492 13659 13826 13993 14160 14327 14494 14661
##  [7789] 14828 14995 15162 15329 15496 15663 15830 15997 16164 16331 16603 16769
##  [7801] 16936 17103 17270 17437 17604 17771 17938 18105 18272 18439 18606 18773
##  [7813] 18940 19107 19274 19441 19608 19775 19942 20109 20276 20443 20610 20777
##  [7825] 20944 21111 21278 21445 21612 21779 21946 22113 22280 22447 22614 22781
##  [7837] 22948 23115 23282 23446 23613 23780 23947 24114 24281 24448 24615 24782
##  [7849] 24949 25116 25283 25450 25617 25784 25951 26118 26278 26445 26612 26779
##  [7861] 26946 27113 27280 27447 27614 27781 27948 28115 28282 28449 28616 28783
##  [7873] 28950 29117 29284    46   213   380   547   714   881  1048  1215  1382
##  [7885]  1549  1716  1883  2050  2217  2384  2551  2718  2885  3052  3219  3386
##  [7897]  3553  3720  3887  4054  4221  4388  4555  4722  4889  5056  5223  5390
##  [7909]  5557  5724  5891  6058  6225  6392  6559  6726  6893  7060  7227  7394
##  [7921]  7561  7728  7895  8062  8229  8396  8563  8730  8897  9064  9231  9398
##  [7933]  9565  9732  9899 10066 10321 10488 10655 10822 10989 11156 11323 11490
##  [7945] 11656 11823 11990 12157 12324 12491 12658 12825 12992 13159 13326 13493
##  [7957] 13660 13827 13994 14161 14328 14495 14662 14829 14996 15163 15330 15497
##  [7969] 15664 15831 15998 16165 16332 16604 16770 16937 17104 17271 17438 17605
##  [7981] 17772 17939 18106 18273 18440 18607 18774 18941 19108 19275 19442 19609
##  [7993] 19776 19943 20110 20277 20444 20611 20778 20945 21112 21279 21446 21613
##  [8005] 21780 21947 22114 22281 22448 22615 22782 22949 23116 23283 23447 23614
##  [8017] 23781 23948 24115 24282 24449 24616 24783 24950 25117 25284 25451 25618
##  [8029] 25785 25952 26119 26279 26446 26613 26780 26947 27114 27281 27448 27615
##  [8041] 27782 27949 28116 28283 28450 28617 28784 28951 29118 29285    47   214
##  [8053]   381   548   715   882  1049  1216  1383  1550  1717  1884  2051  2218
##  [8065]  2385  2552  2719  2886  3053  3220  3387  3554  3721  3888  4055  4222
##  [8077]  4389  4556  4723  4890  5057  5224  5391  5558  5725  5892  6059  6226
##  [8089]  6393  6560  6727  6894  7061  7228  7395  7562  7729  7896  8063  8230
##  [8101]  8397  8564  8731  8898  9065  9232  9399  9566  9733  9900 10067 10322
##  [8113] 10489 10656 10823 10990 11157 11324 11491 11657 11824 11991 12158 12325
##  [8125] 12492 12659 12826 12993 13160 13327 13494 13661 13828 13995 14162 14329
##  [8137] 14496 14663 14830 14997 15164 15331 15498 15665 15832 15999 16166 16333
##  [8149] 16605 16771 16938 17105 17272 17439 17606 17773 17940 18107 18274 18441
##  [8161] 18608 18775 18942 19109 19276 19443 19610 19777 19944 20111 20278 20445
##  [8173] 20612 20779 20946 21113 21280 21447 21614 21781 21948 22115 22282 22449
##  [8185] 22616 22783 22950 23117 23284 23448 23615 23782 23949 24116 24283 24450
##  [8197] 24617 24784 24951 25118 25285 25452 25619 25786 25953 26120 26280 26447
##  [8209] 26614 26781 26948 27115 27282 27449 27616 27783 27950 28117 28284 28451
##  [8221] 28618 28785 28952 29119 29286    48   215   382   549   716   883  1050
##  [8233]  1217  1384  1551  1718  1885  2052  2219  2386  2553  2720  2887  3054
##  [8245]  3221  3388  3555  3722  3889  4056  4223  4390  4557  4724  4891  5058
##  [8257]  5225  5392  5559  5726  5893  6060  6227  6394  6561  6728  6895  7062
##  [8269]  7229  7396  7563  7730  7897  8064  8231  8398  8565  8732  8899  9066
##  [8281]  9233  9400  9567  9734  9901 10068 10323 10490 10657 10824 10991 11158
##  [8293] 11325 11492 11658 11825 11992 12159 12326 12493 12660 12827 12994 13161
##  [8305] 13328 13495 13662 13829 13996 14163 14330 14497 14664 14831 14998 15165
##  [8317] 15332 15499 15666 15833 16000 16167 16334 16606 16772 16939 17106 17273
##  [8329] 17440 17607 17774 17941 18108 18275 18442 18609 18776 18943 19110 19277
##  [8341] 19444 19611 19778 19945 20112 20279 20446 20613 20780 20947 21114 21281
##  [8353] 21448 21615 21782 21949 22116 22283 22450 22617 22784 22951 23118 23285
##  [8365] 23449 23616 23783 23950 24117 24284 24451 24618 24785 24952 25119 25286
##  [8377] 25453 25620 25787 25954 26121 26281 26448 26615 26782 26949 27116 27283
##  [8389] 27450 27617 27784 27951 28118 28285 28452 28619 28786 28953 29120 29287
##  [8401]    49   216   383   550   717   884  1051  1218  1385  1552  1719  1886
##  [8413]  2053  2220  2387  2554  2721  2888  3055  3222  3389  3556  3723  3890
##  [8425]  4057  4224  4391  4558  4725  4892  5059  5226  5393  5560  5727  5894
##  [8437]  6061  6228  6395  6562  6729  6896  7063  7230  7397  7564  7731  7898
##  [8449]  8065  8232  8399  8566  8733  8900  9067  9234  9401  9568  9735  9902
##  [8461] 10069 10324 10491 10658 10825 10992 11159 11326 11493 11659 11826 11993
##  [8473] 12160 12327 12494 12661 12828 12995 13162 13329 13496 13663 13830 13997
##  [8485] 14164 14331 14498 14665 14832 14999 15166 15333 15500 15667 15834 16001
##  [8497] 16168 16335 16607 16773 16940 17107 17274 17441 17608 17775 17942 18109
##  [8509] 18276 18443 18610 18777 18944 19111 19278 19445 19612 19779 19946 20113
##  [8521] 20280 20447 20614 20781 20948 21115 21282 21449 21616 21783 21950 22117
##  [8533] 22284 22451 22618 22785 22952 23119 23286 23450 23617 23784 23951 24118
##  [8545] 24285 24452 24619 24786 24953 25120 25287 25454 25621 25788 25955 26122
##  [8557] 26282 26449 26616 26783 26950 27117 27284 27451 27618 27785 27952 28119
##  [8569] 28286 28453 28620 28787 28954 29121 29288    50   217   384   551   718
##  [8581]   885  1052  1219  1386  1553  1720  1887  2054  2221  2388  2555  2722
##  [8593]  2889  3056  3223  3390  3557  3724  3891  4058  4225  4392  4559  4726
##  [8605]  4893  5060  5227  5394  5561  5728  5895  6062  6229  6396  6563  6730
##  [8617]  6897  7064  7231  7398  7565  7732  7899  8066  8233  8400  8567  8734
##  [8629]  8901  9068  9235  9402  9569  9736  9903 10070 10325 10492 10659 10826
##  [8641] 10993 11160 11327 11494 11660 11827 11994 12161 12328 12495 12662 12829
##  [8653] 12996 13163 13330 13497 13664 13831 13998 14165 14332 14499 14666 14833
##  [8665] 15000 15167 15334 15501 15668 15835 16002 16169 16336 16608 16774 16941
##  [8677] 17108 17275 17442 17609 17776 17943 18110 18277 18444 18611 18778 18945
##  [8689] 19112 19279 19446 19613 19780 19947 20114 20281 20448 20615 20782 20949
##  [8701] 21116 21283 21450 21617 21784 21951 22118 22285 22452 22619 22786 22953
##  [8713] 23120 23287 23451 23618 23785 23952 24119 24286 24453 24620 24787 24954
##  [8725] 25121 25288 25455 25622 25789 25956 26123 26283 26450 26617 26784 26951
##  [8737] 27118 27285 27452 27619 27786 27953 28120 28287 28454 28621 28788 28955
##  [8749] 29122 29289    51   218   385   552   719   886  1053  1220  1387  1554
##  [8761]  1721  1888  2055  2222  2389  2556  2723  2890  3057  3224  3391  3558
##  [8773]  3725  3892  4059  4226  4393  4560  4727  4894  5061  5228  5395  5562
##  [8785]  5729  5896  6063  6230  6397  6564  6731  6898  7065  7232  7399  7566
##  [8797]  7733  7900  8067  8234  8401  8568  8735  8902  9069  9236  9403  9570
##  [8809]  9737  9904 10071 10326 10493 10660 10827 10994 11161 11328 11495 11661
##  [8821] 11828 11995 12162 12329 12496 12663 12830 12997 13164 13331 13498 13665
##  [8833] 13832 13999 14166 14333 14500 14667 14834 15001 15168 15335 15502 15669
##  [8845] 15836 16003 16170 16337 16609 16775 16942 17109 17276 17443 17610 17777
##  [8857] 17944 18111 18278 18445 18612 18779 18946 19113 19280 19447 19614 19781
##  [8869] 19948 20115 20282 20449 20616 20783 20950 21117 21284 21451 21618 21785
##  [8881] 21952 22119 22286 22453 22620 22787 22954 23121 23288 23452 23619 23786
##  [8893] 23953 24120 24287 24454 24621 24788 24955 25122 25289 25456 25623 25790
##  [8905] 25957 26124 26284 26451 26618 26785 26952 27119 27286 27453 27620 27787
##  [8917] 27954 28121 28288 28455 28622 28789 28956 29123 29290    52   219   386
##  [8929]   553   720   887  1054  1221  1388  1555  1722  1889  2056  2223  2390
##  [8941]  2557  2724  2891  3058  3225  3392  3559  3726  3893  4060  4227  4394
##  [8953]  4561  4728  4895  5062  5229  5396  5563  5730  5897  6064  6231  6398
##  [8965]  6565  6732  6899  7066  7233  7400  7567  7734  7901  8068  8235  8402
##  [8977]  8569  8736  8903  9070  9237  9404  9571  9738  9905 10072 10327 10494
##  [8989] 10661 10828 10995 11162 11329 11496 11662 11829 11996 12163 12330 12497
##  [9001] 12664 12831 12998 13165 13332 13499 13666 13833 14000 14167 14334 14501
##  [9013] 14668 14835 15002 15169 15336 15503 15670 15837 16004 16171 16338 16610
##  [9025] 16776 16943 17110 17277 17444 17611 17778 17945 18112 18279 18446 18613
##  [9037] 18780 18947 19114 19281 19448 19615 19782 19949 20116 20283 20450 20617
##  [9049] 20784 20951 21118 21285 21452 21619 21786 21953 22120 22287 22454 22621
##  [9061] 22788 22955 23122 23289 23453 23620 23787 23954 24121 24288 24455 24622
##  [9073] 24789 24956 25123 25290 25457 25624 25791 25958 26125 26285 26452 26619
##  [9085] 26786 26953 27120 27287 27454 27621 27788 27955 28122 28289 28456 28623
##  [9097] 28790 28957 29124 29291    53   220   387   554   721   888  1055  1222
##  [9109]  1389  1556  1723  1890  2057  2224  2391  2558  2725  2892  3059  3226
##  [9121]  3393  3560  3727  3894  4061  4228  4395  4562  4729  4896  5063  5230
##  [9133]  5397  5564  5731  5898  6065  6232  6399  6566  6733  6900  7067  7234
##  [9145]  7401  7568  7735  7902  8069  8236  8403  8570  8737  8904  9071  9238
##  [9157]  9405  9572  9739  9906 10073 10328 10495 10662 10829 10996 11163 11330
##  [9169] 11497 11663 11830 11997 12164 12331 12498 12665 12832 12999 13166 13333
##  [9181] 13500 13667 13834 14001 14168 14335 14502 14669 14836 15003 15170 15337
##  [9193] 15504 15671 15838 16005 16172 16339 16611 16777 16944 17111 17278 17445
##  [9205] 17612 17779 17946 18113 18280 18447 18614 18781 18948 19115 19282 19449
##  [9217] 19616 19783 19950 20117 20284 20451 20618 20785 20952 21119 21286 21453
##  [9229] 21620 21787 21954 22121 22288 22455 22622 22789 22956 23123 23290 23454
##  [9241] 23621 23788 23955 24122 24289 24456 24623 24790 24957 25124 25291 25458
##  [9253] 25625 25792 25959 26126 26286 26453 26620 26787 26954 27121 27288 27455
##  [9265] 27622 27789 27956 28123 28290 28457 28624 28791 28958 29125 29292    54
##  [9277]   221   388   555   722   889  1056  1223  1390  1557  1724  1891  2058
##  [9289]  2225  2392  2559  2726  2893  3060  3227  3394  3561  3728  3895  4062
##  [9301]  4229  4396  4563  4730  4897  5064  5231  5398  5565  5732  5899  6066
##  [9313]  6233  6400  6567  6734  6901  7068  7235  7402  7569  7736  7903  8070
##  [9325]  8237  8404  8571  8738  8905  9072  9239  9406  9573  9740  9907 10074
##  [9337] 10329 10496 10663 10830 10997 11164 11331 11498 11664 11831 11998 12165
##  [9349] 12332 12499 12666 12833 13000 13167 13334 13501 13668 13835 14002 14169
##  [9361] 14336 14503 14670 14837 15004 15171 15338 15505 15672 15839 16006 16173
##  [9373] 16340 16612 16778 16945 17112 17279 17446 17613 17780 17947 18114 18281
##  [9385] 18448 18615 18782 18949 19116 19283 19450 19617 19784 19951 20118 20285
##  [9397] 20452 20619 20786 20953 21120 21287 21454 21621 21788 21955 22122 22289
##  [9409] 22456 22623 22790 22957 23124 23291 23455 23622 23789 23956 24123 24290
##  [9421] 24457 24624 24791 24958 25125 25292 25459 25626 25793 25960 26127 26287
##  [9433] 26454 26621 26788 26955 27122 27289 27456 27623 27790 27957 28124 28291
##  [9445] 28458 28625 28792 28959 29126 29293    55   222   389   556   723   890
##  [9457]  1057  1224  1391  1558  1725  1892  2059  2226  2393  2560  2727  2894
##  [9469]  3061  3228  3395  3562  3729  3896  4063  4230  4397  4564  4731  4898
##  [9481]  5065  5232  5399  5566  5733  5900  6067  6234  6401  6568  6735  6902
##  [9493]  7069  7236  7403  7570  7737  7904  8071  8238  8405  8572  8739  8906
##  [9505]  9073  9240  9407  9574  9741  9908 10075 10330 10497 10664 10831 10998
##  [9517] 11165 11332 11499 11665 11832 11999 12166 12333 12500 12667 12834 13001
##  [9529] 13168 13335 13502 13669 13836 14003 14170 14337 14504 14671 14838 15005
##  [9541] 15172 15339 15506 15673 15840 16007 16174 16341 16613 16779 16946 17113
##  [9553] 17280 17447 17614 17781 17948 18115 18282 18449 18616 18783 18950 19117
##  [9565] 19284 19451 19618 19785 19952 20119 20286 20453 20620 20787 20954 21121
##  [9577] 21288 21455 21622 21789 21956 22123 22290 22457 22624 22791 22958 23125
##  [9589] 23292 23456 23623 23790 23957 24124 24291 24458 24625 24792 24959 25126
##  [9601] 25293 25460 25627 25794 25961 26128 26288 26455 26622 26789 26956 27123
##  [9613] 27290 27457 27624 27791 27958 28125 28292 28459 28626 28793 28960 29127
##  [9625] 29294    56   223   390   557   724   891  1058  1225  1392  1559  1726
##  [9637]  1893  2060  2227  2394  2561  2728  2895  3062  3229  3396  3563  3730
##  [9649]  3897  4064  4231  4398  4565  4732  4899  5066  5233  5400  5567  5734
##  [9661]  5901  6068  6235  6402  6569  6736  6903  7070  7237  7404  7571  7738
##  [9673]  7905  8072  8239  8406  8573  8740  8907  9074  9241  9408  9575  9742
##  [9685]  9909 10076 10331 10498 10665 10832 10999 11166 11333 11500 11666 11833
##  [9697] 12000 12167 12334 12501 12668 12835 13002 13169 13336 13503 13670 13837
##  [9709] 14004 14171 14338 14505 14672 14839 15006 15173 15340 15507 15674 15841
##  [9721] 16008 16175 16342 16614 16780 16947 17114 17281 17448 17615 17782 17949
##  [9733] 18116 18283 18450 18617 18784 18951 19118 19285 19452 19619 19786 19953
##  [9745] 20120 20287 20454 20621 20788 20955 21122 21289 21456 21623 21790 21957
##  [9757] 22124 22291 22458 22625 22792 22959 23126 23293 23457 23624 23791 23958
##  [9769] 24125 24292 24459 24626 24793 24960 25127 25294 25461 25628 25795 25962
##  [9781] 26129 26289 26456 26623 26790 26957 27124 27291 27458 27625 27792 27959
##  [9793] 28126 28293 28460 28627 28794 28961 29128 29295    57   224   391   558
##  [9805]   725   892  1059  1226  1393  1560  1727  1894  2061  2228  2395  2562
##  [9817]  2729  2896  3063  3230  3397  3564  3731  3898  4065  4232  4399  4566
##  [9829]  4733  4900  5067  5234  5401  5568  5735  5902  6069  6236  6403  6570
##  [9841]  6737  6904  7071  7238  7405  7572  7739  7906  8073  8240  8407  8574
##  [9853]  8741  8908  9075  9242  9409  9576  9743  9910 10077 10332 10499 10666
##  [9865] 10833 11000 11167 11334 11501 11667 11834 12001 12168 12335 12502 12669
##  [9877] 12836 13003 13170 13337 13504 13671 13838 14005 14172 14339 14506 14673
##  [9889] 14840 15007 15174 15341 15508 15675 15842 16009 16176 16343 16615 16781
##  [9901] 16948 17115 17282 17449 17616 17783 17950 18117 18284 18451 18618 18785
##  [9913] 18952 19119 19286 19453 19620 19787 19954 20121 20288 20455 20622 20789
##  [9925] 20956 21123 21290 21457 21624 21791 21958 22125 22292 22459 22626 22793
##  [9937] 22960 23127 23294 23458 23625 23792 23959 24126 24293 24460 24627 24794
##  [9949] 24961 25128 25295 25462 25629 25796 25963 26130 26290 26457 26624 26791
##  [9961] 26958 27125 27292 27459 27626 27793 27960 28127 28294 28461 28628 28795
##  [9973] 28962 29129 29296    58   225   392   559   726   893  1060  1227  1394
##  [9985]  1561  1728  1895  2062  2229  2396  2563  2730  2897  3064  3231  3398
##  [9997]  3565  3732  3899  4066  4233  4400  4567  4734  4901  5068  5235  5402
## [10009]  5569  5736  5903  6070  6237  6404  6571  6738  6905  7072  7239  7406
## [10021]  7573  7740  7907  8074  8241  8408  8575  8742  8909  9076  9243  9410
## [10033]  9577  9744  9911 10078 10333 10500 10667 10834 11001 11168 11335 11502
## [10045] 11668 11835 12002 12169 12336 12503 12670 12837 13004 13171 13338 13505
## [10057] 13672 13839 14006 14173 14340 14507 14674 14841 15008 15175 15342 15509
## [10069] 15676 15843 16010 16177 16344 16616 16782 16949 17116 17283 17450 17617
## [10081] 17784 17951 18118 18285 18452 18619 18786 18953 19120 19287 19454 19621
## [10093] 19788 19955 20122 20289 20456 20623 20790 20957 21124 21291 21458 21625
## [10105] 21792 21959 22126 22293 22460 22627 22794 22961 23128 23295 23459 23626
## [10117] 23793 23960 24127 24294 24461 24628 24795 24962 25129 25296 25463 25630
## [10129] 25797 25964 26131 26291 26458 26625 26792 26959 27126 27293 27460 27627
## [10141] 27794 27961 28128 28295 28462 28629 28796 28963 29130 29297    59   226
## [10153]   393   560   727   894  1061  1228  1395  1562  1729  1896  2063  2230
## [10165]  2397  2564  2731  2898  3065  3232  3399  3566  3733  3900  4067  4234
## [10177]  4401  4568  4735  4902  5069  5236  5403  5570  5737  5904  6071  6238
## [10189]  6405  6572  6739  6906  7073  7240  7407  7574  7741  7908  8075  8242
## [10201]  8409  8576  8743  8910  9077  9244  9411  9578  9745  9912 10079 10334
## [10213] 10501 10668 10835 11002 11169 11336 11503 11669 11836 12003 12170 12337
## [10225] 12504 12671 12838 13005 13172 13339 13506 13673 13840 14007 14174 14341
## [10237] 14508 14675 14842 15009 15176 15343 15510 15677 15844 16011 16178 16345
## [10249] 16617 16783 16950 17117 17284 17451 17618 17785 17952 18119 18286 18453
## [10261] 18620 18787 18954 19121 19288 19455 19622 19789 19956 20123 20290 20457
## [10273] 20624 20791 20958 21125 21292 21459 21626 21793 21960 22127 22294 22461
## [10285] 22628 22795 22962 23129 23296 23460 23627 23794 23961 24128 24295 24462
## [10297] 24629 24796 24963 25130 25297 25464 25631 25798 25965 26132 26292 26459
## [10309] 26626 26793 26960 27127 27294 27461 27628 27795 27962 28129 28296 28463
## [10321] 28630 28797 28964 29131 29298    60   227   394   561   728   895  1062
## [10333]  1229  1396  1563  1730  1897  2064  2231  2398  2565  2732  2899  3066
## [10345]  3233  3400  3567  3734  3901  4068  4235  4402  4569  4736  4903  5070
## [10357]  5237  5404  5571  5738  5905  6072  6239  6406  6573  6740  6907  7074
## [10369]  7241  7408  7575  7742  7909  8076  8243  8410  8577  8744  8911  9078
## [10381]  9245  9412  9579  9746  9913 10080 10335 10502 10669 10836 11003 11170
## [10393] 11337 11504 11670 11837 12004 12171 12338 12505 12672 12839 13006 13173
## [10405] 13340 13507 13674 13841 14008 14175 14342 14509 14676 14843 15010 15177
## [10417] 15344 15511 15678 15845 16012 16179 16346 16618 16784 16951 17118 17285
## [10429] 17452 17619 17786 17953 18120 18287 18454 18621 18788 18955 19122 19289
## [10441] 19456 19623 19790 19957 20124 20291 20458 20625 20792 20959 21126 21293
## [10453] 21460 21627 21794 21961 22128 22295 22462 22629 22796 22963 23130 23297
## [10465] 23461 23628 23795 23962 24129 24296 24463 24630 24797 24964 25131 25298
## [10477] 25465 25632 25799 25966 26133 26293 26460 26627 26794 26961 27128 27295
## [10489] 27462 27629 27796 27963 28130 28297 28464 28631 28798 28965 29132 29299
## [10501]    61   228   395   562   729   896  1063  1230  1397  1564  1731  1898
## [10513]  2065  2232  2399  2566  2733  2900  3067  3234  3401  3568  3735  3902
## [10525]  4069  4236  4403  4570  4737  4904  5071  5238  5405  5572  5739  5906
## [10537]  6073  6240  6407  6574  6741  6908  7075  7242  7409  7576  7743  7910
## [10549]  8077  8244  8411  8578  8745  8912  9079  9246  9413  9580  9747  9914
## [10561] 10081 10336 10503 10670 10837 11004 11171 11338 11505 11671 11838 12005
## [10573] 12172 12339 12506 12673 12840 13007 13174 13341 13508 13675 13842 14009
## [10585] 14176 14343 14510 14677 14844 15011 15178 15345 15512 15679 15846 16013
## [10597] 16180 16347 16619 16785 16952 17119 17286 17453 17620 17787 17954 18121
## [10609] 18288 18455 18622 18789 18956 19123 19290 19457 19624 19791 19958 20125
## [10621] 20292 20459 20626 20793 20960 21127 21294 21461 21628 21795 21962 22129
## [10633] 22296 22463 22630 22797 22964 23131 23298 23462 23629 23796 23963 24130
## [10645] 24297 24464 24631 24798 24965 25132 25299 25466 25633 25800 25967 26134
## [10657] 26294 26461 26628 26795 26962 27129 27296 27463 27630 27797 27964 28131
## [10669] 28298 28465 28632 28799 28966 29133 29300    62   229   396   563   730
## [10681]   897  1064  1231  1398  1565  1732  1899  2066  2233  2400  2567  2734
## [10693]  2901  3068  3235  3402  3569  3736  3903  4070  4237  4404  4571  4738
## [10705]  4905  5072  5239  5406  5573  5740  5907  6074  6241  6408  6575  6742
## [10717]  6909  7076  7243  7410  7577  7744  7911  8078  8245  8412  8579  8746
## [10729]  8913  9080  9247  9414  9581  9748  9915 10082 10337 10504 10671 10838
## [10741] 11005 11172 11339 11506 11672 11839 12006 12173 12340 12507 12674 12841
## [10753] 13008 13175 13342 13509 13676 13843 14010 14177 14344 14511 14678 14845
## [10765] 15012 15179 15346 15513 15680 15847 16014 16181 16348 16620 16786 16953
## [10777] 17120 17287 17454 17621 17788 17955 18122 18289 18456 18623 18790 18957
## [10789] 19124 19291 19458 19625 19792 19959 20126 20293 20460 20627 20794 20961
## [10801] 21128 21295 21462 21629 21796 21963 22130 22297 22464 22631 22798 22965
## [10813] 23132 23299 23463 23630 23797 23964 24131 24298 24465 24632 24799 24966
## [10825] 25133 25300 25467 25634 25801 25968 26135 26295 26462 26629 26796 26963
## [10837] 27130 27297 27464 27631 27798 27965 28132 28299 28466 28633 28800 28967
## [10849] 29134 29301    63   230   397   564   731   898  1065  1232  1399  1566
## [10861]  1733  1900  2067  2234  2401  2568  2735  2902  3069  3236  3403  3570
## [10873]  3737  3904  4071  4238  4405  4572  4739  4906  5073  5240  5407  5574
## [10885]  5741  5908  6075  6242  6409  6576  6743  6910  7077  7244  7411  7578
## [10897]  7745  7912  8079  8246  8413  8580  8747  8914  9081  9248  9415  9582
## [10909]  9749  9916 10083 10338 10505 10672 10839 11006 11173 11340 11507 11673
## [10921] 11840 12007 12174 12341 12508 12675 12842 13009 13176 13343 13510 13677
## [10933] 13844 14011 14178 14345 14512 14679 14846 15013 15180 15347 15514 15681
## [10945] 15848 16015 16182 16349 16454 16621 16787 16954 17121 17288 17455 17622
## [10957] 17789 17956 18123 18290 18457 18624 18791 18958 19125 19292 19459 19626
## [10969] 19793 19960 20127 20294 20461 20628 20795 20962 21129 21296 21463 21630
## [10981] 21797 21964 22131 22298 22465 22632 22799 22966 23133 23300 23464 23631
## [10993] 23798 23965 24132 24299 24466 24633 24800 24967 25134 25301 25468 25635
## [11005] 25802 25969 26136 26296 26463 26630 26797 26964 27131 27298 27465 27632
## [11017] 27799 27966 28133 28300 28467 28634 28801 28968 29135 29302    64   231
## [11029]   398   565   732   899  1066  1233  1400  1567  1734  1901  2068  2235
## [11041]  2402  2569  2736  2903  3070  3237  3404  3571  3738  3905  4072  4239
## [11053]  4406  4573  4740  4907  5074  5241  5408  5575  5742  5909  6076  6243
## [11065]  6410  6577  6744  6911  7078  7245  7412  7579  7746  7913  8080  8247
## [11077]  8414  8581  8748  8915  9082  9249  9416  9583  9750  9917 10084 10339
## [11089] 10506 10673 10840 11007 11174 11341 11508 11674 11841 12008 12175 12342
## [11101] 12509 12676 12843 13010 13177 13344 13511 13678 13845 14012 14179 14346
## [11113] 14513 14680 14847 15014 15181 15348 15515 15682 15849 16016 16183 16350
## [11125] 16455 16622 16788 16955 17122 17289 17456 17623 17790 17957 18124 18291
## [11137] 18458 18625 18792 18959 19126 19293 19460 19627 19794 19961 20128 20295
## [11149] 20462 20629 20796 20963 21130 21297 21464 21631 21798 21965 22132 22299
## [11161] 22466 22633 22800 22967 23134 23301 23465 23632 23799 23966 24133 24300
## [11173] 24467 24634 24801 24968 25135 25302 25469 25636 25803 25970 26137 26297
## [11185] 26464 26631 26798 26965 27132 27299 27466 27633 27800 27967 28134 28301
## [11197] 28468 28635 28802 28969 29136 29303    65   232   399   566   733   900
## [11209]  1067  1234  1401  1568  1735  1902  2069  2236  2403  2570  2737  2904
## [11221]  3071  3238  3405  3572  3739  3906  4073  4240  4407  4574  4741  4908
## [11233]  5075  5242  5409  5576  5743  5910  6077  6244  6411  6578  6745  6912
## [11245]  7079  7246  7413  7580  7747  7914  8081  8248  8415  8582  8749  8916
## [11257]  9083  9250  9417  9584  9751  9918 10085 10340 10507 10674 10841 11008
## [11269] 11175 11342 11509 11675 11842 12009 12176 12343 12510 12677 12844 13011
## [11281] 13178 13345 13512 13679 13846 14013 14180 14347 14514 14681 14848 15015
## [11293] 15182 15349 15516 15683 15850 16017 16184 16351 16456 16623 16789 16956
## [11305] 17123 17290 17457 17624 17791 17958 18125 18292 18459 18626 18793 18960
## [11317] 19127 19294 19461 19628 19795 19962 20129 20296 20463 20630 20797 20964
## [11329] 21131 21298 21465 21632 21799 21966 22133 22300 22467 22634 22801 22968
## [11341] 23135 23302 23466 23633 23800 23967 24134 24301 24468 24635 24802 24969
## [11353] 25136 25303 25470 25637 25804 25971 26138 26298 26465 26632 26799 26966
## [11365] 27133 27300 27467 27634 27801 27968 28135 28302 28469 28636 28803 28970
## [11377] 29137 29304    66   233   400   567   734   901  1068  1235  1402  1569
## [11389]  1736  1903  2070  2237  2404  2571  2738  2905  3072  3239  3406  3573
## [11401]  3740  3907  4074  4241  4408  4575  4742  4909  5076  5243  5410  5577
## [11413]  5744  5911  6078  6245  6412  6579  6746  6913  7080  7247  7414  7581
## [11425]  7748  7915  8082  8249  8416  8583  8750  8917  9084  9251  9418  9585
## [11437]  9752  9919 10086 10341 10508 10675 10842 11009 11176 11343 11510 11676
## [11449] 11843 12010 12177 12344 12511 12678 12845 13012 13179 13346 13513 13680
## [11461] 13847 14014 14181 14348 14515 14682 14849 15016 15183 15350 15517 15684
## [11473] 15851 16018 16185 16352 16457 16624 16790 16957 17124 17291 17458 17625
## [11485] 17792 17959 18126 18293 18460 18627 18794 18961 19128 19295 19462 19629
## [11497] 19796 19963 20130 20297 20464 20631 20798 20965 21132 21299 21466 21633
## [11509] 21800 21967 22134 22301 22468 22635 22802 22969 23136 23303 23467 23634
## [11521] 23801 23968 24135 24302 24469 24636 24803 24970 25137 25304 25471 25638
## [11533] 25805 25972 26139 26299 26466 26633 26800 26967 27134 27301 27468 27635
## [11545] 27802 27969 28136 28303 28470 28637 28804 28971 29138 29305    67   234
## [11557]   401   568   735   902  1069  1236  1403  1570  1737  1904  2071  2238
## [11569]  2405  2572  2739  2906  3073  3240  3407  3574  3741  3908  4075  4242
## [11581]  4409  4576  4743  4910  5077  5244  5411  5578  5745  5912  6079  6246
## [11593]  6413  6580  6747  6914  7081  7248  7415  7582  7749  7916  8083  8250
## [11605]  8417  8584  8751  8918  9085  9252  9419  9586  9753  9920 10087 10342
## [11617] 10509 10676 10843 11010 11177 11344 11511 11677 11844 12011 12178 12345
## [11629] 12512 12679 12846 13013 13180 13347 13514 13681 13848 14015 14182 14349
## [11641] 14516 14683 14850 15017 15184 15351 15518 15685 15852 16019 16186 16353
## [11653] 16458 16625 16791 16958 17125 17292 17459 17626 17793 17960 18127 18294
## [11665] 18461 18628 18795 18962 19129 19296 19463 19630 19797 19964 20131 20298
## [11677] 20465 20632 20799 20966 21133 21300 21467 21634 21801 21968 22135 22302
## [11689] 22469 22636 22803 22970 23137 23304 23468 23635 23802 23969 24136 24303
## [11701] 24470 24637 24804 24971 25138 25305 25472 25639 25806 25973 26140 26300
## [11713] 26467 26634 26801 26968 27135 27302 27469 27636 27803 27970 28137 28304
## [11725] 28471 28638 28805 28972 29139 29306    68   235   402   569   736   903
## [11737]  1070  1237  1404  1571  1738  1905  2072  2239  2406  2573  2740  2907
## [11749]  3074  3241  3408  3575  3742  3909  4076  4243  4410  4577  4744  4911
## [11761]  5078  5245  5412  5579  5746  5913  6080  6247  6414  6581  6748  6915
## [11773]  7082  7249  7416  7583  7750  7917  8084  8251  8418  8585  8752  8919
## [11785]  9086  9253  9420  9587  9754  9921 10088 10343 10510 10677 10844 11011
## [11797] 11178 11345 11512 11678 11845 12012 12179 12346 12513 12680 12847 13014
## [11809] 13181 13348 13515 13682 13849 14016 14183 14350 14517 14684 14851 15018
## [11821] 15185 15352 15519 15686 15853 16020 16187 16354 16459 16626 16792 16959
## [11833] 17126 17293 17460 17627 17794 17961 18128 18295 18462 18629 18796 18963
## [11845] 19130 19297 19464 19631 19798 19965 20132 20299 20466 20633 20800 20967
## [11857] 21134 21301 21468 21635 21802 21969 22136 22303 22470 22637 22804 22971
## [11869] 23138 23305 23469 23636 23803 23970 24137 24304 24471 24638 24805 24972
## [11881] 25139 25306 25473 25640 25807 25974 26141 26301 26468 26635 26802 26969
## [11893] 27136 27303 27470 27637 27804 27971 28138 28305 28472 28639 28806 28973
## [11905] 29140 29307    69   236   403   570   737   904  1071  1238  1405  1572
## [11917]  1739  1906  2073  2240  2407  2574  2741  2908  3075  3242  3409  3576
## [11929]  3743  3910  4077  4244  4411  4578  4745  4912  5079  5246  5413  5580
## [11941]  5747  5914  6081  6248  6415  6582  6749  6916  7083  7250  7417  7584
## [11953]  7751  7918  8085  8252  8419  8586  8753  8920  9087  9254  9421  9588
## [11965]  9755  9922 10089 10344 10511 10678 10845 11012 11179 11346 11513 11679
## [11977] 11846 12013 12180 12347 12514 12681 12848 13015 13182 13349 13516 13683
## [11989] 13850 14017 14184 14351 14518 14685 14852 15019 15186 15353 15520 15687
## [12001] 15854 16021 16188 16355 16460 16627 16793 16960 17127 17294 17461 17628
## [12013] 17795 17962 18129 18296 18463 18630 18797 18964 19131 19298 19465 19632
## [12025] 19799 19966 20133 20300 20467 20634 20801 20968 21135 21302 21469 21636
## [12037] 21803 21970 22137 22304 22471 22638 22805 22972 23139 23306 23470 23637
## [12049] 23804 23971 24138 24305 24472 24639 24806 24973 25140 25307 25474 25641
## [12061] 25808 25975 26142 26302 26469 26636 26803 26970 27137 27304 27471 27638
## [12073] 27805 27972 28139 28306 28473 28640 28807 28974 29141 29308    70   237
## [12085]   404   571   738   905  1072  1239  1406  1573  1740  1907  2074  2241
## [12097]  2408  2575  2742  2909  3076  3243  3410  3577  3744  3911  4078  4245
## [12109]  4412  4579  4746  4913  5080  5247  5414  5581  5748  5915  6082  6249
## [12121]  6416  6583  6750  6917  7084  7251  7418  7585  7752  7919  8086  8253
## [12133]  8420  8587  8754  8921  9088  9255  9422  9589  9756  9923 10090 10345
## [12145] 10512 10679 10846 11013 11180 11347 11514 11680 11847 12014 12181 12348
## [12157] 12515 12682 12849 13016 13183 13350 13517 13684 13851 14018 14185 14352
## [12169] 14519 14686 14853 15020 15187 15354 15521 15688 15855 16022 16189 16356
## [12181] 16461 16628 16794 16961 17128 17295 17462 17629 17796 17963 18130 18297
## [12193] 18464 18631 18798 18965 19132 19299 19466 19633 19800 19967 20134 20301
## [12205] 20468 20635 20802 20969 21136 21303 21470 21637 21804 21971 22138 22305
## [12217] 22472 22639 22806 22973 23140 23307 23471 23638 23805 23972 24139 24306
## [12229] 24473 24640 24807 24974 25141 25308 25475 25642 25809 25976 26143 26303
## [12241] 26470 26637 26804 26971 27138 27305 27472 27639 27806 27973 28140 28307
## [12253] 28474 28641 28808 28975 29142 29309    71   238   405   572   739   906
## [12265]  1073  1240  1407  1574  1741  1908  2075  2242  2409  2576  2743  2910
## [12277]  3077  3244  3411  3578  3745  3912  4079  4246  4413  4580  4747  4914
## [12289]  5081  5248  5415  5582  5749  5916  6083  6250  6417  6584  6751  6918
## [12301]  7085  7252  7419  7586  7753  7920  8087  8254  8421  8588  8755  8922
## [12313]  9089  9256  9423  9590  9757  9924 10091 10346 10513 10680 10847 11014
## [12325] 11181 11348 11515 11681 11848 12015 12182 12349 12516 12683 12850 13017
## [12337] 13184 13351 13518 13685 13852 14019 14186 14353 14520 14687 14854 15021
## [12349] 15188 15355 15522 15689 15856 16023 16190 16357 16462 16629 16795 16962
## [12361] 17129 17296 17463 17630 17797 17964 18131 18298 18465 18632 18799 18966
## [12373] 19133 19300 19467 19634 19801 19968 20135 20302 20469 20636 20803 20970
## [12385] 21137 21304 21471 21638 21805 21972 22139 22306 22473 22640 22807 22974
## [12397] 23141 23308 23472 23639 23806 23973 24140 24307 24474 24641 24808 24975
## [12409] 25142 25309 25476 25643 25810 25977 26144 26304 26471 26638 26805 26972
## [12421] 27139 27306 27473 27640 27807 27974 28141 28308 28475 28642 28809 28976
## [12433] 29143 29310    72   239   406   573   740   907  1074  1241  1408  1575
## [12445]  1742  1909  2076  2243  2410  2577  2744  2911  3078  3245  3412  3579
## [12457]  3746  3913  4080  4247  4414  4581  4748  4915  5082  5249  5416  5583
## [12469]  5750  5917  6084  6251  6418  6585  6752  6919  7086  7253  7420  7587
## [12481]  7754  7921  8088  8255  8422  8589  8756  8923  9090  9257  9424  9591
## [12493]  9758  9925 10092 10347 10514 10681 10848 11015 11182 11349 11516 11682
## [12505] 11849 12016 12183 12350 12517 12684 12851 13018 13185 13352 13519 13686
## [12517] 13853 14020 14187 14354 14521 14688 14855 15022 15189 15356 15523 15690
## [12529] 15857 16024 16191 16358 16463 16630 16796 16963 17130 17297 17464 17631
## [12541] 17798 17965 18132 18299 18466 18633 18800 18967 19134 19301 19468 19635
## [12553] 19802 19969 20136 20303 20470 20637 20804 20971 21138 21305 21472 21639
## [12565] 21806 21973 22140 22307 22474 22641 22808 22975 23142 23309 23473 23640
## [12577] 23807 23974 24141 24308 24475 24642 24809 24976 25143 25310 25477 25644
## [12589] 25811 25978 26145 26305 26472 26639 26806 26973 27140 27307 27474 27641
## [12601] 27808 27975 28142 28309 28476 28643 28810 28977 29144 29311    73   240
## [12613]   407   574   741   908  1075  1242  1409  1576  1743  1910  2077  2244
## [12625]  2411  2578  2745  2912  3079  3246  3413  3580  3747  3914  4081  4248
## [12637]  4415  4582  4749  4916  5083  5250  5417  5584  5751  5918  6085  6252
## [12649]  6419  6586  6753  6920  7087  7254  7421  7588  7755  7922  8089  8256
## [12661]  8423  8590  8757  8924  9091  9258  9425  9592  9759  9926 10093 10348
## [12673] 10515 10682 10849 11016 11183 11350 11517 11683 11850 12017 12184 12351
## [12685] 12518 12685 12852 13019 13186 13353 13520 13687 13854 14021 14188 14355
## [12697] 14522 14689 14856 15023 15190 15357 15524 15691 15858 16025 16192 16359
## [12709] 16464 16631 16797 16964 17131 17298 17465 17632 17799 17966 18133 18300
## [12721] 18467 18634 18801 18968 19135 19302 19469 19636 19803 19970 20137 20304
## [12733] 20471 20638 20805 20972 21139 21306 21473 21640 21807 21974 22141 22308
## [12745] 22475 22642 22809 22976 23143 23310 23474 23641 23808 23975 24142 24309
## [12757] 24476 24643 24810 24977 25144 25311 25478 25645 25812 25979 26146 26306
## [12769] 26473 26640 26807 26974 27141 27308 27475 27642 27809 27976 28143 28310
## [12781] 28477 28644 28811 28978 29145 29312    74   241   408   575   742   909
## [12793]  1076  1243  1410  1577  1744  1911  2078  2245  2412  2579  2746  2913
## [12805]  3080  3247  3414  3581  3748  3915  4082  4249  4416  4583  4750  4917
## [12817]  5084  5251  5418  5585  5752  5919  6086  6253  6420  6587  6754  6921
## [12829]  7088  7255  7422  7589  7756  7923  8090  8257  8424  8591  8758  8925
## [12841]  9092  9259  9426  9593  9760  9927 10094 10349 10516 10683 10850 11017
## [12853] 11184 11351 11518 11684 11851 12018 12185 12352 12519 12686 12853 13020
## [12865] 13187 13354 13521 13688 13855 14022 14189 14356 14523 14690 14857 15024
## [12877] 15191 15358 15525 15692 15859 16026 16193 16360 16465 16632 16798 16965
## [12889] 17132 17299 17466 17633 17800 17967 18134 18301 18468 18635 18802 18969
## [12901] 19136 19303 19470 19637 19804 19971 20138 20305 20472 20639 20806 20973
## [12913] 21140 21307 21474 21641 21808 21975 22142 22309 22476 22643 22810 22977
## [12925] 23144 23311 23475 23642 23809 23976 24143 24310 24477 24644 24811 24978
## [12937] 25145 25312 25479 25646 25813 25980 26147 26307 26474 26641 26808 26975
## [12949] 27142 27309 27476 27643 27810 27977 28144 28311 28478 28645 28812 28979
## [12961] 29146 29313    75   242   409   576   743   910  1077  1244  1411  1578
## [12973]  1745  1912  2079  2246  2413  2580  2747  2914  3081  3248  3415  3582
## [12985]  3749  3916  4083  4250  4417  4584  4751  4918  5085  5252  5419  5586
## [12997]  5753  5920  6087  6254  6421  6588  6755  6922  7089  7256  7423  7590
## [13009]  7757  7924  8091  8258  8425  8592  8759  8926  9093  9260  9427  9594
## [13021]  9761  9928 10095 10350 10517 10684 10851 11018 11185 11352 11519 11685
## [13033] 11852 12019 12186 12353 12520 12687 12854 13021 13188 13355 13522 13689
## [13045] 13856 14023 14190 14357 14524 14691 14858 15025 15192 15359 15526 15693
## [13057] 15860 16027 16194 16361 16466 16633 16799 16966 17133 17300 17467 17634
## [13069] 17801 17968 18135 18302 18469 18636 18803 18970 19137 19304 19471 19638
## [13081] 19805 19972 20139 20306 20473 20640 20807 20974 21141 21308 21475 21642
## [13093] 21809 21976 22143 22310 22477 22644 22811 22978 23145 23312 23476 23643
## [13105] 23810 23977 24144 24311 24478 24645 24812 24979 25146 25313 25480 25647
## [13117] 25814 25981 26148 26308 26475 26642 26809 26976 27143 27310 27477 27644
## [13129] 27811 27978 28145 28312 28479 28646 28813 28980 29147 29314    76   243
## [13141]   410   577   744   911  1078  1245  1412  1579  1746  1913  2080  2247
## [13153]  2414  2581  2748  2915  3082  3249  3416  3583  3750  3917  4084  4251
## [13165]  4418  4585  4752  4919  5086  5253  5420  5587  5754  5921  6088  6255
## [13177]  6422  6589  6756  6923  7090  7257  7424  7591  7758  7925  8092  8259
## [13189]  8426  8593  8760  8927  9094  9261  9428  9595  9762  9929 10096 10351
## [13201] 10518 10685 10852 11019 11186 11353 11520 11686 11853 12020 12187 12354
## [13213] 12521 12688 12855 13022 13189 13356 13523 13690 13857 14024 14191 14358
## [13225] 14525 14692 14859 15026 15193 15360 15527 15694 15861 16028 16195 16362
## [13237] 16467 16634 16800 16967 17134 17301 17468 17635 17802 17969 18136 18303
## [13249] 18470 18637 18804 18971 19138 19305 19472 19639 19806 19973 20140 20307
## [13261] 20474 20641 20808 20975 21142 21309 21476 21643 21810 21977 22144 22311
## [13273] 22478 22645 22812 22979 23146 23313 23477 23644 23811 23978 24145 24312
## [13285] 24479 24646 24813 24980 25147 25314 25481 25648 25815 25982 26149 26309
## [13297] 26476 26643 26810 26977 27144 27311 27478 27645 27812 27979 28146 28313
## [13309] 28480 28647 28814 28981 29148 29315    77   244   411   578   745   912
## [13321]  1079  1246  1413  1580  1747  1914  2081  2248  2415  2582  2749  2916
## [13333]  3083  3250  3417  3584  3751  3918  4085  4252  4419  4586  4753  4920
## [13345]  5087  5254  5421  5588  5755  5922  6089  6256  6423  6590  6757  6924
## [13357]  7091  7258  7425  7592  7759  7926  8093  8260  8427  8594  8761  8928
## [13369]  9095  9262  9429  9596  9763  9930 10097 10352 10519 10686 10853 11020
## [13381] 11187 11354 11521 11687 11854 12021 12188 12355 12522 12689 12856 13023
## [13393] 13190 13357 13524 13691 13858 14025 14192 14359 14526 14693 14860 15027
## [13405] 15194 15361 15528 15695 15862 16029 16196 16363 16468 16635 16801 16968
## [13417] 17135 17302 17469 17636 17803 17970 18137 18304 18471 18638 18805 18972
## [13429] 19139 19306 19473 19640 19807 19974 20141 20308 20475 20642 20809 20976
## [13441] 21143 21310 21477 21644 21811 21978 22145 22312 22479 22646 22813 22980
## [13453] 23147 23314 23478 23645 23812 23979 24146 24313 24480 24647 24814 24981
## [13465] 25148 25315 25482 25649 25816 25983 26150 26310 26477 26644 26811 26978
## [13477] 27145 27312 27479 27646 27813 27980 28147 28314 28481 28648 28815 28982
## [13489] 29149 29316    78   245   412   579   746   913  1080  1247  1414  1581
## [13501]  1748  1915  2082  2249  2416  2583  2750  2917  3084  3251  3418  3585
## [13513]  3752  3919  4086  4253  4420  4587  4754  4921  5088  5255  5422  5589
## [13525]  5756  5923  6090  6257  6424  6591  6758  6925  7092  7259  7426  7593
## [13537]  7760  7927  8094  8261  8428  8595  8762  8929  9096  9263  9430  9597
## [13549]  9764  9931 10098 10353 10520 10687 10854 11021 11188 11355 11522 11688
## [13561] 11855 12022 12189 12356 12523 12690 12857 13024 13191 13358 13525 13692
## [13573] 13859 14026 14193 14360 14527 14694 14861 15028 15195 15362 15529 15696
## [13585] 15863 16030 16197 16364 16469 16636 16802 16969 17136 17303 17470 17637
## [13597] 17804 17971 18138 18305 18472 18639 18806 18973 19140 19307 19474 19641
## [13609] 19808 19975 20142 20309 20476 20643 20810 20977 21144 21311 21478 21645
## [13621] 21812 21979 22146 22313 22480 22647 22814 22981 23148 23315 23479 23646
## [13633] 23813 23980 24147 24314 24481 24648 24815 24982 25149 25316 25483 25650
## [13645] 25817 25984 26151 26311 26478 26645 26812 26979 27146 27313 27480 27647
## [13657] 27814 27981 28148 28315 28482 28649 28816 28983 29150 29317    79   246
## [13669]   413   580   747   914  1081  1248  1415  1582  1749  1916  2083  2250
## [13681]  2417  2584  2751  2918  3085  3252  3419  3586  3753  3920  4087  4254
## [13693]  4421  4588  4755  4922  5089  5256  5423  5590  5757  5924  6091  6258
## [13705]  6425  6592  6759  6926  7093  7260  7427  7594  7761  7928  8095  8262
## [13717]  8429  8596  8763  8930  9097  9264  9431  9598  9765  9932 10099 10354
## [13729] 10521 10688 10855 11022 11189 11356 11523 11689 11856 12023 12190 12357
## [13741] 12524 12691 12858 13025 13192 13359 13526 13693 13860 14027 14194 14361
## [13753] 14528 14695 14862 15029 15196 15363 15530 15697 15864 16031 16198 16365
## [13765] 16470 16637 16803 16970 17137 17304 17471 17638 17805 17972 18139 18306
## [13777] 18473 18640 18807 18974 19141 19308 19475 19642 19809 19976 20143 20310
## [13789] 20477 20644 20811 20978 21145 21312 21479 21646 21813 21980 22147 22314
## [13801] 22481 22648 22815 22982 23149 23316 23480 23647 23814 23981 24148 24315
## [13813] 24482 24649 24816 24983 25150 25317 25484 25651 25818 25985 26152 26312
## [13825] 26479 26646 26813 26980 27147 27314 27481 27648 27815 27982 28149 28316
## [13837] 28483 28650 28817 28984 29151 29318    80   247   414   581   748   915
## [13849]  1082  1249  1416  1583  1750  1917  2084  2251  2418  2585  2752  2919
## [13861]  3086  3253  3420  3587  3754  3921  4088  4255  4422  4589  4756  4923
## [13873]  5090  5257  5424  5591  5758  5925  6092  6259  6426  6593  6760  6927
## [13885]  7094  7261  7428  7595  7762  7929  8096  8263  8430  8597  8764  8931
## [13897]  9098  9265  9432  9599  9766  9933 10100 10188 10355 10522 10689 10856
## [13909] 11023 11190 11357 11524 11690 11857 12024 12191 12358 12525 12692 12859
## [13921] 13026 13193 13360 13527 13694 13861 14028 14195 14362 14529 14696 14863
## [13933] 15030 15197 15364 15531 15698 15865 16032 16199 16366 16471 16638 16804
## [13945] 16971 17138 17305 17472 17639 17806 17973 18140 18307 18474 18641 18808
## [13957] 18975 19142 19309 19476 19643 19810 19977 20144 20311 20478 20645 20812
## [13969] 20979 21146 21313 21480 21647 21814 21981 22148 22315 22482 22649 22816
## [13981] 22983 23150 23317 23481 23648 23815 23982 24149 24316 24483 24650 24817
## [13993] 24984 25151 25318 25485 25652 25819 25986 26153 26313 26480 26647 26814
## [14005] 26981 27148 27315 27482 27649 27816 27983 28150 28317 28484 28651 28818
## [14017] 28985 29152 29319    81   248   415   582   749   916  1083  1250  1417
## [14029]  1584  1751  1918  2085  2252  2419  2586  2753  2920  3087  3254  3421
## [14041]  3588  3755  3922  4089  4256  4423  4590  4757  4924  5091  5258  5425
## [14053]  5592  5759  5926  6093  6260  6427  6594  6761  6928  7095  7262  7429
## [14065]  7596  7763  7930  8097  8264  8431  8598  8765  8932  9099  9266  9433
## [14077]  9600  9767  9934 10101 10189 10356 10523 10690 10857 11024 11191 11358
## [14089] 11525 11691 11858 12025 12192 12359 12526 12693 12860 13027 13194 13361
## [14101] 13528 13695 13862 14029 14196 14363 14530 14697 14864 15031 15198 15365
## [14113] 15532 15699 15866 16033 16200 16367 16472 16639 16805 16972 17139 17306
## [14125] 17473 17640 17807 17974 18141 18308 18475 18642 18809 18976 19143 19310
## [14137] 19477 19644 19811 19978 20145 20312 20479 20646 20813 20980 21147 21314
## [14149] 21481 21648 21815 21982 22149 22316 22483 22650 22817 22984 23151 23318
## [14161] 23482 23649 23816 23983 24150 24317 24484 24651 24818 24985 25152 25319
## [14173] 25486 25653 25820 25987 26154 26314 26481 26648 26815 26982 27149 27316
## [14185] 27483 27650 27817 27984 28151 28318 28485 28652 28819 28986 29153 29320
## [14197]    82   249   416   583   750   917  1084  1251  1418  1585  1752  1919
## [14209]  2086  2253  2420  2587  2754  2921  3088  3255  3422  3589  3756  3923
## [14221]  4090  4257  4424  4591  4758  4925  5092  5259  5426  5593  5760  5927
## [14233]  6094  6261  6428  6595  6762  6929  7096  7263  7430  7597  7764  7931
## [14245]  8098  8265  8432  8599  8766  8933  9100  9267  9434  9601  9768  9935
## [14257] 10102 10190 10357 10524 10691 10858 11025 11192 11359 11526 11692 11859
## [14269] 12026 12193 12360 12527 12694 12861 13028 13195 13362 13529 13696 13863
## [14281] 14030 14197 14364 14531 14698 14865 15032 15199 15366 15533 15700 15867
## [14293] 16034 16201 16368 16473 16640 16806 16973 17140 17307 17474 17641 17808
## [14305] 17975 18142 18309 18476 18643 18810 18977 19144 19311 19478 19645 19812
## [14317] 19979 20146 20313 20480 20647 20814 20981 21148 21315 21482 21649 21816
## [14329] 21983 22150 22317 22484 22651 22818 22985 23152 23319 23483 23650 23817
## [14341] 23984 24151 24318 24485 24652 24819 24986 25153 25320 25487 25654 25821
## [14353] 25988 26155 26315 26482 26649 26816 26983 27150 27317 27484 27651 27818
## [14365] 27985 28152 28319 28486 28653 28820 28987 29154 29321    83   250   417
## [14377]   584   751   918  1085  1252  1419  1586  1753  1920  2087  2254  2421
## [14389]  2588  2755  2922  3089  3256  3423  3590  3757  3924  4091  4258  4425
## [14401]  4592  4759  4926  5093  5260  5427  5594  5761  5928  6095  6262  6429
## [14413]  6596  6763  6930  7097  7264  7431  7598  7765  7932  8099  8266  8433
## [14425]  8600  8767  8934  9101  9268  9435  9602  9769  9936 10103 10191 10358
## [14437] 10525 10692 10859 11026 11193 11360 11527 11693 11860 12027 12194 12361
## [14449] 12528 12695 12862 13029 13196 13363 13530 13697 13864 14031 14198 14365
## [14461] 14532 14699 14866 15033 15200 15367 15534 15701 15868 16035 16202 16369
## [14473] 16474 16641 16807 16974 17141 17308 17475 17642 17809 17976 18143 18310
## [14485] 18477 18644 18811 18978 19145 19312 19479 19646 19813 19980 20147 20314
## [14497] 20481 20648 20815 20982 21149 21316 21483 21650 21817 21984 22151 22318
## [14509] 22485 22652 22819 22986 23153 23320 23484 23651 23818 23985 24152 24319
## [14521] 24486 24653 24820 24987 25154 25321 25488 25655 25822 25989 26156 26316
## [14533] 26483 26650 26817 26984 27151 27318 27485 27652 27819 27986 28153 28320
## [14545] 28487 28654 28821 28988 29155 29322    84   251   418   585   752   919
## [14557]  1086  1253  1420  1587  1754  1921  2088  2255  2422  2589  2756  2923
## [14569]  3090  3257  3424  3591  3758  3925  4092  4259  4426  4593  4760  4927
## [14581]  5094  5261  5428  5595  5762  5929  6096  6263  6430  6597  6764  6931
## [14593]  7098  7265  7432  7599  7766  7933  8100  8267  8434  8601  8768  8935
## [14605]  9102  9269  9436  9603  9770  9937 10104 10192 10359 10526 10693 10860
## [14617] 11027 11194 11361 11528 11694 11861 12028 12195 12362 12529 12696 12863
## [14629] 13030 13197 13364 13531 13698 13865 14032 14199 14366 14533 14700 14867
## [14641] 15034 15201 15368 15535 15702 15869 16036 16203 16370 16475 16642 16808
## [14653] 16975 17142 17309 17476 17643 17810 17977 18144 18311 18478 18645 18812
## [14665] 18979 19146 19313 19480 19647 19814 19981 20148 20315 20482 20649 20816
## [14677] 20983 21150 21317 21484 21651 21818 21985 22152 22319 22486 22653 22820
## [14689] 22987 23154 23321 23485 23652 23819 23986 24153 24320 24487 24654 24821
## [14701] 24988 25155 25322 25489 25656 25823 25990 26157 26317 26484 26651 26818
## [14713] 26985 27152 27319 27486 27653 27820 27987 28154 28321 28488 28655 28822
## [14725] 28989 29156 29323    85   252   419   586   753   920  1087  1254  1421
## [14737]  1588  1755  1922  2089  2256  2423  2590  2757  2924  3091  3258  3425
## [14749]  3592  3759  3926  4093  4260  4427  4594  4761  4928  5095  5262  5429
## [14761]  5596  5763  5930  6097  6264  6431  6598  6765  6932  7099  7266  7433
## [14773]  7600  7767  7934  8101  8268  8435  8602  8769  8936  9103  9270  9437
## [14785]  9604  9771  9938 10105 10193 10360 10527 10694 10861 11028 11195 11362
## [14797] 11529 11695 11862 12029 12196 12363 12530 12697 12864 13031 13198 13365
## [14809] 13532 13699 13866 14033 14200 14367 14534 14701 14868 15035 15202 15369
## [14821] 15536 15703 15870 16037 16204 16371 16476 16643 16809 16976 17143 17310
## [14833] 17477 17644 17811 17978 18145 18312 18479 18646 18813 18980 19147 19314
## [14845] 19481 19648 19815 19982 20149 20316 20483 20650 20817 20984 21151 21318
## [14857] 21485 21652 21819 21986 22153 22320 22487 22654 22821 22988 23155 23322
## [14869] 23486 23653 23820 23987 24154 24321 24488 24655 24822 24989 25156 25323
## [14881] 25490 25657 25824 25991 26158 26318 26485 26652 26819 26986 27153 27320
## [14893] 27487 27654 27821 27988 28155 28322 28489 28656 28823 28990 29157 29324
## [14905]    86   253   420   587   754   921  1088  1255  1422  1589  1756  1923
## [14917]  2090  2257  2424  2591  2758  2925  3092  3259  3426  3593  3760  3927
## [14929]  4094  4261  4428  4595  4762  4929  5096  5263  5430  5597  5764  5931
## [14941]  6098  6265  6432  6599  6766  6933  7100  7267  7434  7601  7768  7935
## [14953]  8102  8269  8436  8603  8770  8937  9104  9271  9438  9605  9772  9939
## [14965] 10106 10194 10361 10528 10695 10862 11029 11196 11363 11530 11696 11863
## [14977] 12030 12197 12364 12531 12698 12865 13032 13199 13366 13533 13700 13867
## [14989] 14034 14201 14368 14535 14702 14869 15036 15203 15370 15537 15704 15871
## [15001] 16038 16205 16372 16477 16644 16810 16977 17144 17311 17478 17645 17812
## [15013] 17979 18146 18313 18480 18647 18814 18981 19148 19315 19482 19649 19816
## [15025] 19983 20150 20317 20484 20651 20818 20985 21152 21319 21486 21653 21820
## [15037] 21987 22154 22321 22488 22655 22822 22989 23156 23323 23487 23654 23821
## [15049] 23988 24155 24322 24489 24656 24823 24990 25157 25324 25491 25658 25825
## [15061] 25992 26159 26319 26486 26653 26820 26987 27154 27321 27488 27655 27822
## [15073] 27989 28156 28323 28490 28657 28824 28991 29158 29325    87   254   421
## [15085]   588   755   922  1089  1256  1423  1590  1757  1924  2091  2258  2425
## [15097]  2592  2759  2926  3093  3260  3427  3594  3761  3928  4095  4262  4429
## [15109]  4596  4763  4930  5097  5264  5431  5598  5765  5932  6099  6266  6433
## [15121]  6600  6767  6934  7101  7268  7435  7602  7769  7936  8103  8270  8437
## [15133]  8604  8771  8938  9105  9272  9439  9606  9773  9940 10107 10195 10362
## [15145] 10529 10696 10863 11030 11197 11364 11531 11697 11864 12031 12198 12365
## [15157] 12532 12699 12866 13033 13200 13367 13534 13701 13868 14035 14202 14369
## [15169] 14536 14703 14870 15037 15204 15371 15538 15705 15872 16039 16206 16373
## [15181] 16478 16645 16811 16978 17145 17312 17479 17646 17813 17980 18147 18314
## [15193] 18481 18648 18815 18982 19149 19316 19483 19650 19817 19984 20151 20318
## [15205] 20485 20652 20819 20986 21153 21320 21487 21654 21821 21988 22155 22322
## [15217] 22489 22656 22823 22990 23157 23324 23488 23655 23822 23989 24156 24323
## [15229] 24490 24657 24824 24991 25158 25325 25492 25659 25826 25993 26160 26320
## [15241] 26487 26654 26821 26988 27155 27322 27489 27656 27823 27990 28157 28324
## [15253] 28491 28658 28825 28992 29159 29326    88   255   422   589   756   923
## [15265]  1090  1257  1424  1591  1758  1925  2092  2259  2426  2593  2760  2927
## [15277]  3094  3261  3428  3595  3762  3929  4096  4263  4430  4597  4764  4931
## [15289]  5098  5265  5432  5599  5766  5933  6100  6267  6434  6601  6768  6935
## [15301]  7102  7269  7436  7603  7770  7937  8104  8271  8438  8605  8772  8939
## [15313]  9106  9273  9440  9607  9774  9941 10108 10196 10363 10530 10697 10864
## [15325] 11031 11198 11365 11532 11698 11865 12032 12199 12366 12533 12700 12867
## [15337] 13034 13201 13368 13535 13702 13869 14036 14203 14370 14537 14704 14871
## [15349] 15038 15205 15372 15539 15706 15873 16040 16207 16374 16479 16646 16812
## [15361] 16979 17146 17313 17480 17647 17814 17981 18148 18315 18482 18649 18816
## [15373] 18983 19150 19317 19484 19651 19818 19985 20152 20319 20486 20653 20820
## [15385] 20987 21154 21321 21488 21655 21822 21989 22156 22323 22490 22657 22824
## [15397] 22991 23158 23325 23489 23656 23823 23990 24157 24324 24491 24658 24825
## [15409] 24992 25159 25326 25493 25660 25827 25994 26161 26321 26488 26655 26822
## [15421] 26989 27156 27323 27490 27657 27824 27991 28158 28325 28492 28659 28826
## [15433] 28993 29160 29327    89   256   423   590   757   924  1091  1258  1425
## [15445]  1592  1759  1926  2093  2260  2427  2594  2761  2928  3095  3262  3429
## [15457]  3596  3763  3930  4097  4264  4431  4598  4765  4932  5099  5266  5433
## [15469]  5600  5767  5934  6101  6268  6435  6602  6769  6936  7103  7270  7437
## [15481]  7604  7771  7938  8105  8272  8439  8606  8773  8940  9107  9274  9441
## [15493]  9608  9775  9942 10109 10197 10364 10531 10698 10865 11032 11199 11366
## [15505] 11533 11699 11866 12033 12200 12367 12534 12701 12868 13035 13202 13369
## [15517] 13536 13703 13870 14037 14204 14371 14538 14705 14872 15039 15206 15373
## [15529] 15540 15707 15874 16041 16208 16375 16480 16647 16813 16980 17147 17314
## [15541] 17481 17648 17815 17982 18149 18316 18483 18650 18817 18984 19151 19318
## [15553] 19485 19652 19819 19986 20153 20320 20487 20654 20821 20988 21155 21322
## [15565] 21489 21656 21823 21990 22157 22324 22491 22658 22825 22992 23159 23326
## [15577] 23490 23657 23824 23991 24158 24325 24492 24659 24826 24993 25160 25327
## [15589] 25494 25661 25828 25995 26162 26322 26489 26656 26823 26990 27157 27324
## [15601] 27491 27658 27825 27992 28159 28326 28493 28660 28827 28994 29161 29328
## [15613]    90   257   424   591   758   925  1092  1259  1426  1593  1760  1927
## [15625]  2094  2261  2428  2595  2762  2929  3096  3263  3430  3597  3764  3931
## [15637]  4098  4265  4432  4599  4766  4933  5100  5267  5434  5601  5768  5935
## [15649]  6102  6269  6436  6603  6770  6937  7104  7271  7438  7605  7772  7939
## [15661]  8106  8273  8440  8607  8774  8941  9108  9275  9442  9609  9776  9943
## [15673] 10110 10198 10365 10532 10699 10866 11033 11200 11367 11534 11700 11867
## [15685] 12034 12201 12368 12535 12702 12869 13036 13203 13370 13537 13704 13871
## [15697] 14038 14205 14372 14539 14706 14873 15040 15207 15374 15541 15708 15875
## [15709] 16042 16209 16376 16481 16648 16814 16981 17148 17315 17482 17649 17816
## [15721] 17983 18150 18317 18484 18651 18818 18985 19152 19319 19486 19653 19820
## [15733] 19987 20154 20321 20488 20655 20822 20989 21156 21323 21490 21657 21824
## [15745] 21991 22158 22325 22492 22659 22826 22993 23160 23327 23491 23658 23825
## [15757] 23992 24159 24326 24493 24660 24827 24994 25161 25328 25495 25662 25829
## [15769] 25996 26163 26323 26490 26657 26824 26991 27158 27325 27492 27659 27826
## [15781] 27993 28160 28327 28494 28661 28828 28995 29162 29329    91   258   425
## [15793]   592   759   926  1093  1260  1427  1594  1761  1928  2095  2262  2429
## [15805]  2596  2763  2930  3097  3264  3431  3598  3765  3932  4099  4266  4433
## [15817]  4600  4767  4934  5101  5268  5435  5602  5769  5936  6103  6270  6437
## [15829]  6604  6771  6938  7105  7272  7439  7606  7773  7940  8107  8274  8441
## [15841]  8608  8775  8942  9109  9276  9443  9610  9777  9944 10111 10199 10366
## [15853] 10533 10700 10867 11034 11201 11368 11535 11701 11868 12035 12202 12369
## [15865] 12536 12703 12870 13037 13204 13371 13538 13705 13872 14039 14206 14373
## [15877] 14540 14707 14874 15041 15208 15375 15542 15709 15876 16043 16210 16377
## [15889] 16482 16649 16815 16982 17149 17316 17483 17650 17817 17984 18151 18318
## [15901] 18485 18652 18819 18986 19153 19320 19487 19654 19821 19988 20155 20322
## [15913] 20489 20656 20823 20990 21157 21324 21491 21658 21825 21992 22159 22326
## [15925] 22493 22660 22827 22994 23161 23328 23492 23659 23826 23993 24160 24327
## [15937] 24494 24661 24828 24995 25162 25329 25496 25663 25830 25997 26164 26324
## [15949] 26491 26658 26825 26992 27159 27326 27493 27660 27827 27994 28161 28328
## [15961] 28495 28662 28829 28996 29163 29330    92   259   426   593   760   927
## [15973]  1094  1261  1428  1595  1762  1929  2096  2263  2430  2597  2764  2931
## [15985]  3098  3265  3432  3599  3766  3933  4100  4267  4434  4601  4768  4935
## [15997]  5102  5269  5436  5603  5770  5937  6104  6271  6438  6605  6772  6939
## [16009]  7106  7273  7440  7607  7774  7941  8108  8275  8442  8609  8776  8943
## [16021]  9110  9277  9444  9611  9778  9945 10112 10200 10367 10534 10701 10868
## [16033] 11035 11202 11369 11536 11702 11869 12036 12203 12370 12537 12704 12871
## [16045] 13038 13205 13372 13539 13706 13873 14040 14207 14374 14541 14708 14875
## [16057] 15042 15209 15376 15543 15710 15877 16044 16211 16378 16483 16650 16816
## [16069] 16983 17150 17317 17484 17651 17818 17985 18152 18319 18486 18653 18820
## [16081] 18987 19154 19321 19488 19655 19822 19989 20156 20323 20490 20657 20824
## [16093] 20991 21158 21325 21492 21659 21826 21993 22160 22327 22494 22661 22828
## [16105] 22995 23162 23329 23493 23660 23827 23994 24161 24328 24495 24662 24829
## [16117] 24996 25163 25330 25497 25664 25831 25998 26165 26325 26492 26659 26826
## [16129] 26993 27160 27327 27494 27661 27828 27995 28162 28329 28496 28663 28830
## [16141] 28997 29164 29331    93   260   427   594   761   928  1095  1262  1429
## [16153]  1596  1763  1930  2097  2264  2431  2598  2765  2932  3099  3266  3433
## [16165]  3600  3767  3934  4101  4268  4435  4602  4769  4936  5103  5270  5437
## [16177]  5604  5771  5938  6105  6272  6439  6606  6773  6940  7107  7274  7441
## [16189]  7608  7775  7942  8109  8276  8443  8610  8777  8944  9111  9278  9445
## [16201]  9612  9779  9946 10113 10201 10368 10535 10702 10869 11036 11203 11370
## [16213] 11537 11703 11870 12037 12204 12371 12538 12705 12872 13039 13206 13373
## [16225] 13540 13707 13874 14041 14208 14375 14542 14709 14876 15043 15210 15377
## [16237] 15544 15711 15878 16045 16212 16379 16484 16651 16817 16984 17151 17318
## [16249] 17485 17652 17819 17986 18153 18320 18487 18654 18821 18988 19155 19322
## [16261] 19489 19656 19823 19990 20157 20324 20491 20658 20825 20992 21159 21326
## [16273] 21493 21660 21827 21994 22161 22328 22495 22662 22829 22996 23163 23330
## [16285] 23494 23661 23828 23995 24162 24329 24496 24663 24830 24997 25164 25331
## [16297] 25498 25665 25832 25999 26166 26326 26493 26660 26827 26994 27161 27328
## [16309] 27495 27662 27829 27996 28163 28330 28497 28664 28831 28998 29165 29332
## [16321]    94   261   428   595   762   929  1096  1263  1430  1597  1764  1931
## [16333]  2098  2265  2432  2599  2766  2933  3100  3267  3434  3601  3768  3935
## [16345]  4102  4269  4436  4603  4770  4937  5104  5271  5438  5605  5772  5939
## [16357]  6106  6273  6440  6607  6774  6941  7108  7275  7442  7609  7776  7943
## [16369]  8110  8277  8444  8611  8778  8945  9112  9279  9446  9613  9780  9947
## [16381] 10114 10202 10369 10536 10703 10870 11037 11204 11371 11538 11704 11871
## [16393] 12038 12205 12372 12539 12706 12873 13040 13207 13374 13541 13708 13875
## [16405] 14042 14209 14376 14543 14710 14877 15044 15211 15378 15545 15712 15879
## [16417] 16046 16213 16380 16485 16652 16818 16985 17152 17319 17486 17653 17820
## [16429] 17987 18154 18321 18488 18655 18822 18989 19156 19323 19490 19657 19824
## [16441] 19991 20158 20325 20492 20659 20826 20993 21160 21327 21494 21661 21828
## [16453] 21995 22162 22329 22496 22663 22830 22997 23164 23331 23495 23662 23829
## [16465] 23996 24163 24330 24497 24664 24831 24998 25165 25332 25499 25666 25833
## [16477] 26000 26167 26327 26494 26661 26828 26995 27162 27329 27496 27663 27830
## [16489] 27997 28164 28331 28498 28665 28832 28999 29166 29333    95   262   429
## [16501]   596   763   930  1097  1264  1431  1598  1765  1932  2099  2266  2433
## [16513]  2600  2767  2934  3101  3268  3435  3602  3769  3936  4103  4270  4437
## [16525]  4604  4771  4938  5105  5272  5439  5606  5773  5940  6107  6274  6441
## [16537]  6608  6775  6942  7109  7276  7443  7610  7777  7944  8111  8278  8445
## [16549]  8612  8779  8946  9113  9280  9447  9614  9781  9948 10115 10203 10370
## [16561] 10537 10704 10871 11038 11205 11372 11539 11705 11872 12039 12206 12373
## [16573] 12540 12707 12874 13041 13208 13375 13542 13709 13876 14043 14210 14377
## [16585] 14544 14711 14878 15045 15212 15379 15546 15713 15880 16047 16214 16381
## [16597] 16486 16653 16819 16986 17153 17320 17487 17654 17821 17988 18155 18322
## [16609] 18489 18656 18823 18990 19157 19324 19491 19658 19825 19992 20159 20326
## [16621] 20493 20660 20827 20994 21161 21328 21495 21662 21829 21996 22163 22330
## [16633] 22497 22664 22831 22998 23165 23332 23496 23663 23830 23997 24164 24331
## [16645] 24498 24665 24832 24999 25166 25333 25500 25667 25834 26001 26168 26328
## [16657] 26495 26662 26829 26996 27163 27330 27497 27664 27831 27998 28165 28332
## [16669] 28499 28666 28833 29000 29167 29334    96   263   430   597   764   931
## [16681]  1098  1265  1432  1599  1766  1933  2100  2267  2434  2601  2768  2935
## [16693]  3102  3269  3436  3603  3770  3937  4104  4271  4438  4605  4772  4939
## [16705]  5106  5273  5440  5607  5774  5941  6108  6275  6442  6609  6776  6943
## [16717]  7110  7277  7444  7611  7778  7945  8112  8279  8446  8613  8780  8947
## [16729]  9114  9281  9448  9615  9782  9949 10116 10204 10371 10538 10705 10872
## [16741] 11039 11206 11373 11540 11706 11873 12040 12207 12374 12541 12708 12875
## [16753] 13042 13209 13376 13543 13710 13877 14044 14211 14378 14545 14712 14879
## [16765] 15046 15213 15380 15547 15714 15881 16048 16215 16382 16487 16654 16820
## [16777] 16987 17154 17321 17488 17655 17822 17989 18156 18323 18490 18657 18824
## [16789] 18991 19158 19325 19492 19659 19826 19993 20160 20327 20494 20661 20828
## [16801] 20995 21162 21329 21496 21663 21830 21997 22164 22331 22498 22665 22832
## [16813] 22999 23166 23333 23497 23664 23831 23998 24165 24332 24499 24666 24833
## [16825] 25000 25167 25334 25501 25668 25835 26002 26169 26329 26496 26663 26830
## [16837] 26997 27164 27331 27498 27665 27832 27999 28166 28333 28500 28667 28834
## [16849] 29001 29168 29335    97   264   431   598   765   932  1099  1266  1433
## [16861]  1600  1767  1934  2101  2268  2435  2602  2769  2936  3103  3270  3437
## [16873]  3604  3771  3938  4105  4272  4439  4606  4773  4940  5107  5274  5441
## [16885]  5608  5775  5942  6109  6276  6443  6610  6777  6944  7111  7278  7445
## [16897]  7612  7779  7946  8113  8280  8447  8614  8781  8948  9115  9282  9449
## [16909]  9616  9783  9950 10117 10205 10372 10539 10706 10873 11040 11207 11374
## [16921] 11541 11707 11874 12041 12208 12375 12542 12709 12876 13043 13210 13377
## [16933] 13544 13711 13878 14045 14212 14379 14546 14713 14880 15047 15214 15381
## [16945] 15548 15715 15882 16049 16216 16383 16488 16655 16821 16988 17155 17322
## [16957] 17489 17656 17823 17990 18157 18324 18491 18658 18825 18992 19159 19326
## [16969] 19493 19660 19827 19994 20161 20328 20495 20662 20829 20996 21163 21330
## [16981] 21497 21664 21831 21998 22165 22332 22499 22666 22833 23000 23167 23334
## [16993] 23498 23665 23832 23999 24166 24333 24500 24667 24834 25001 25168 25335
## [17005] 25502 25669 25836 26003 26170 26330 26497 26664 26831 26998 27165 27332
## [17017] 27499 27666 27833 28000 28167 28334 28501 28668 28835 29002 29169 29336
## [17029]    98   265   432   599   766   933  1100  1267  1434  1601  1768  1935
## [17041]  2102  2269  2436  2603  2770  2937  3104  3271  3438  3605  3772  3939
## [17053]  4106  4273  4440  4607  4774  4941  5108  5275  5442  5609  5776  5943
## [17065]  6110  6277  6444  6611  6778  6945  7112  7279  7446  7613  7780  7947
## [17077]  8114  8281  8448  8615  8782  8949  9116  9283  9450  9617  9784  9951
## [17089] 10118 10206 10373 10540 10707 10874 11041 11208 11375 11542 11708 11875
## [17101] 12042 12209 12376 12543 12710 12877 13044 13211 13378 13545 13712 13879
## [17113] 14046 14213 14380 14547 14714 14881 15048 15215 15382 15549 15716 15883
## [17125] 16050 16217 16384 16489 16656 16822 16989 17156 17323 17490 17657 17824
## [17137] 17991 18158 18325 18492 18659 18826 18993 19160 19327 19494 19661 19828
## [17149] 19995 20162 20329 20496 20663 20830 20997 21164 21331 21498 21665 21832
## [17161] 21999 22166 22333 22500 22667 22834 23001 23168 23335 23499 23666 23833
## [17173] 24000 24167 24334 24501 24668 24835 25002 25169 25336 25503 25670 25837
## [17185] 26004 26171 26331 26498 26665 26832 26999 27166 27333 27500 27667 27834
## [17197] 28001 28168 28335 28502 28669 28836 29003 29170 29337    99   266   433
## [17209]   600   767   934  1101  1268  1435  1602  1769  1936  2103  2270  2437
## [17221]  2604  2771  2938  3105  3272  3439  3606  3773  3940  4107  4274  4441
## [17233]  4608  4775  4942  5109  5276  5443  5610  5777  5944  6111  6278  6445
## [17245]  6612  6779  6946  7113  7280  7447  7614  7781  7948  8115  8282  8449
## [17257]  8616  8783  8950  9117  9284  9451  9618  9785  9952 10119 10207 10374
## [17269] 10541 10708 10875 11042 11209 11376 11543 11709 11876 12043 12210 12377
## [17281] 12544 12711 12878 13045 13212 13379 13546 13713 13880 14047 14214 14381
## [17293] 14548 14715 14882 15049 15216 15383 15550 15717 15884 16051 16218 16385
## [17305] 16490 16657 16823 16990 17157 17324 17491 17658 17825 17992 18159 18326
## [17317] 18493 18660 18827 18994 19161 19328 19495 19662 19829 19996 20163 20330
## [17329] 20497 20664 20831 20998 21165 21332 21499 21666 21833 22000 22167 22334
## [17341] 22501 22668 22835 23002 23169 23336 23500 23667 23834 24001 24168 24335
## [17353] 24502 24669 24836 25003 25170 25337 25504 25671 25838 26005 26172 26332
## [17365] 26499 26666 26833 27000 27167 27334 27501 27668 27835 28002 28169 28336
## [17377] 28503 28670 28837 29004 29171 29338   100   267   434   601   768   935
## [17389]  1102  1269  1436  1603  1770  1937  2104  2271  2438  2605  2772  2939
## [17401]  3106  3273  3440  3607  3774  3941  4108  4275  4442  4609  4776  4943
## [17413]  5110  5277  5444  5611  5778  5945  6112  6279  6446  6613  6780  6947
## [17425]  7114  7281  7448  7615  7782  7949  8116  8283  8450  8617  8784  8951
## [17437]  9118  9285  9452  9619  9786  9953 10120 10208 10375 10542 10709 10876
## [17449] 11043 11210 11377 11544 11710 11877 12044 12211 12378 12545 12712 12879
## [17461] 13046 13213 13380 13547 13714 13881 14048 14215 14382 14549 14716 14883
## [17473] 15050 15217 15384 15551 15718 15885 16052 16219 16386 16491 16658 16824
## [17485] 16991 17158 17325 17492 17659 17826 17993 18160 18327 18494 18661 18828
## [17497] 18995 19162 19329 19496 19663 19830 19997 20164 20331 20498 20665 20832
## [17509] 20999 21166 21333 21500 21667 21834 22001 22168 22335 22502 22669 22836
## [17521] 23003 23170 23337 23501 23668 23835 24002 24169 24336 24503 24670 24837
## [17533] 25004 25171 25338 25505 25672 25839 26006 26173 26333 26500 26667 26834
## [17545] 27001 27168 27335 27502 27669 27836 28003 28170 28337 28504 28671 28838
## [17557] 29005 29172 29339   101   268   435   602   769   936  1103  1270  1437
## [17569]  1604  1771  1938  2105  2272  2439  2606  2773  2940  3107  3274  3441
## [17581]  3608  3775  3942  4109  4276  4443  4610  4777  4944  5111  5278  5445
## [17593]  5612  5779  5946  6113  6280  6447  6614  6781  6948  7115  7282  7449
## [17605]  7616  7783  7950  8117  8284  8451  8618  8785  8952  9119  9286  9453
## [17617]  9620  9787  9954 10121 10209 10376 10543 10710 10877 11044 11211 11378
## [17629] 11545 11711 11878 12045 12212 12379 12546 12713 12880 13047 13214 13381
## [17641] 13548 13715 13882 14049 14216 14383 14550 14717 14884 15051 15218 15385
## [17653] 15552 15719 15886 16053 16220 16387 16492 16659 16825 16992 17159 17326
## [17665] 17493 17660 17827 17994 18161 18328 18495 18662 18829 18996 19163 19330
## [17677] 19497 19664 19831 19998 20165 20332 20499 20666 20833 21000 21167 21334
## [17689] 21501 21668 21835 22002 22169 22336 22503 22670 22837 23004 23171 23338
## [17701] 23502 23669 23836 24003 24170 24337 24504 24671 24838 25005 25172 25339
## [17713] 25506 25673 25840 26007 26174 26334 26501 26668 26835 27002 27169 27336
## [17725] 27503 27670 27837 28004 28171 28338 28505 28672 28839 29006 29173 29340
## [17737]   102   269   436   603   770   937  1104  1271  1438  1605  1772  1939
## [17749]  2106  2273  2440  2607  2774  2941  3108  3275  3442  3609  3776  3943
## [17761]  4110  4277  4444  4611  4778  4945  5112  5279  5446  5613  5780  5947
## [17773]  6114  6281  6448  6615  6782  6949  7116  7283  7450  7617  7784  7951
## [17785]  8118  8285  8452  8619  8786  8953  9120  9287  9454  9621  9788  9955
## [17797] 10122 10210 10377 10544 10711 10878 11045 11212 11379 11546 11712 11879
## [17809] 12046 12213 12380 12547 12714 12881 13048 13215 13382 13549 13716 13883
## [17821] 14050 14217 14384 14551 14718 14885 15052 15219 15386 15553 15720 15887
## [17833] 16054 16221 16388 16493 16660 16826 16993 17160 17327 17494 17661 17828
## [17845] 17995 18162 18329 18496 18663 18830 18997 19164 19331 19498 19665 19832
## [17857] 19999 20166 20333 20500 20667 20834 21001 21168 21335 21502 21669 21836
## [17869] 22003 22170 22337 22504 22671 22838 23005 23172 23339 23503 23670 23837
## [17881] 24004 24171 24338 24505 24672 24839 25006 25173 25340 25507 25674 25841
## [17893] 26008 26175 26335 26502 26669 26836 27003 27170 27337 27504 27671 27838
## [17905] 28005 28172 28339 28506 28673 28840 29007 29174 29341   103   270   437
## [17917]   604   771   938  1105  1272  1439  1606  1773  1940  2107  2274  2441
## [17929]  2608  2775  2942  3109  3276  3443  3610  3777  3944  4111  4278  4445
## [17941]  4612  4779  4946  5113  5280  5447  5614  5781  5948  6115  6282  6449
## [17953]  6616  6783  6950  7117  7284  7451  7618  7785  7952  8119  8286  8453
## [17965]  8620  8787  8954  9121  9288  9455  9622  9789  9956 10123 10211 10378
## [17977] 10545 10712 10879 11046 11213 11380 11547 11713 11880 12047 12214 12381
## [17989] 12548 12715 12882 13049 13216 13383 13550 13717 13884 14051 14218 14385
## [18001] 14552 14719 14886 15053 15220 15387 15554 15721 15888 16055 16222 16389
## [18013] 16494 16661 16827 16994 17161 17328 17495 17662 17829 17996 18163 18330
## [18025] 18497 18664 18831 18998 19165 19332 19499 19666 19833 20000 20167 20334
## [18037] 20501 20668 20835 21002 21169 21336 21503 21670 21837 22004 22171 22338
## [18049] 22505 22672 22839 23006 23173 23340 23504 23671 23838 24005 24172 24339
## [18061] 24506 24673 24840 25007 25174 25341 25508 25675 25842 26009 26176 26336
## [18073] 26503 26670 26837 27004 27171 27338 27505 27672 27839 28006 28173 28340
## [18085] 28507 28674 28841 29008 29175 29342   104   271   438   605   772   939
## [18097]  1106  1273  1440  1607  1774  1941  2108  2275  2442  2609  2776  2943
## [18109]  3110  3277  3444  3611  3778  3945  4112  4279  4446  4613  4780  4947
## [18121]  5114  5281  5448  5615  5782  5949  6116  6283  6450  6617  6784  6951
## [18133]  7118  7285  7452  7619  7786  7953  8120  8287  8454  8621  8788  8955
## [18145]  9122  9289  9456  9623  9790  9957 10124 10212 10379 10546 10713 10880
## [18157] 11047 11214 11381 11548 11714 11881 12048 12215 12382 12549 12716 12883
## [18169] 13050 13217 13384 13551 13718 13885 14052 14219 14386 14553 14720 14887
## [18181] 15054 15221 15388 15555 15722 15889 16056 16223 16390 16495 16662 16828
## [18193] 16995 17162 17329 17496 17663 17830 17997 18164 18331 18498 18665 18832
## [18205] 18999 19166 19333 19500 19667 19834 20001 20168 20335 20502 20669 20836
## [18217] 21003 21170 21337 21504 21671 21838 22005 22172 22339 22506 22673 22840
## [18229] 23007 23174 23341 23505 23672 23839 24006 24173 24340 24507 24674 24841
## [18241] 25008 25175 25342 25509 25676 25843 26010 26177 26337 26504 26671 26838
## [18253] 27005 27172 27339 27506 27673 27840 28007 28174 28341 28508 28675 28842
## [18265] 29009 29176 29343   105   272   439   606   773   940  1107  1274  1441
## [18277]  1608  1775  1942  2109  2276  2443  2610  2777  2944  3111  3278  3445
## [18289]  3612  3779  3946  4113  4280  4447  4614  4781  4948  5115  5282  5449
## [18301]  5616  5783  5950  6117  6284  6451  6618  6785  6952  7119  7286  7453
## [18313]  7620  7787  7954  8121  8288  8455  8622  8789  8956  9123  9290  9457
## [18325]  9624  9791  9958 10125 10213 10380 10547 10714 10881 11048 11215 11382
## [18337] 11549 11715 11882 12049 12216 12383 12550 12717 12884 13051 13218 13385
## [18349] 13552 13719 13886 14053 14220 14387 14554 14721 14888 15055 15222 15389
## [18361] 15556 15723 15890 16057 16224 16391 16496 16663 16829 16996 17163 17330
## [18373] 17497 17664 17831 17998 18165 18332 18499 18666 18833 19000 19167 19334
## [18385] 19501 19668 19835 20002 20169 20336 20503 20670 20837 21004 21171 21338
## [18397] 21505 21672 21839 22006 22173 22340 22507 22674 22841 23008 23175 23342
## [18409] 23506 23673 23840 24007 24174 24341 24508 24675 24842 25009 25176 25343
## [18421] 25510 25677 25844 26011 26178 26338 26505 26672 26839 27006 27173 27340
## [18433] 27507 27674 27841 28008 28175 28342 28509 28676 28843 29010 29177 29344
## [18445]   106   273   440   607   774   941  1108  1275  1442  1609  1776  1943
## [18457]  2110  2277  2444  2611  2778  2945  3112  3279  3446  3613  3780  3947
## [18469]  4114  4281  4448  4615  4782  4949  5116  5283  5450  5617  5784  5951
## [18481]  6118  6285  6452  6619  6786  6953  7120  7287  7454  7621  7788  7955
## [18493]  8122  8289  8456  8623  8790  8957  9124  9291  9458  9625  9792  9959
## [18505] 10126 10214 10381 10548 10715 10882 11049 11216 11383 11550 11716 11883
## [18517] 12050 12217 12384 12551 12718 12885 13052 13219 13386 13553 13720 13887
## [18529] 14054 14221 14388 14555 14722 14889 15056 15223 15390 15557 15724 15891
## [18541] 16058 16225 16392 16497 16664 16830 16997 17164 17331 17498 17665 17832
## [18553] 17999 18166 18333 18500 18667 18834 19001 19168 19335 19502 19669 19836
## [18565] 20003 20170 20337 20504 20671 20838 21005 21172 21339 21506 21673 21840
## [18577] 22007 22174 22341 22508 22675 22842 23009 23176 23343 23507 23674 23841
## [18589] 24008 24175 24342 24509 24676 24843 25010 25177 25344 25511 25678 25845
## [18601] 26012 26179 26339 26506 26673 26840 27007 27174 27341 27508 27675 27842
## [18613] 28009 28176 28343 28510 28677 28844 29011 29178 29345   107   274   441
## [18625]   608   775   942  1109  1276  1443  1610  1777  1944  2111  2278  2445
## [18637]  2612  2779  2946  3113  3280  3447  3614  3781  3948  4115  4282  4449
## [18649]  4616  4783  4950  5117  5284  5451  5618  5785  5952  6119  6286  6453
## [18661]  6620  6787  6954  7121  7288  7455  7622  7789  7956  8123  8290  8457
## [18673]  8624  8791  8958  9125  9292  9459  9626  9793  9960 10127 10215 10382
## [18685] 10549 10716 10883 11050 11217 11384 11551 11717 11884 12051 12218 12385
## [18697] 12552 12719 12886 13053 13220 13387 13554 13721 13888 14055 14222 14389
## [18709] 14556 14723 14890 15057 15224 15391 15558 15725 15892 16059 16226 16393
## [18721] 16498 16665 16831 16998 17165 17332 17499 17666 17833 18000 18167 18334
## [18733] 18501 18668 18835 19002 19169 19336 19503 19670 19837 20004 20171 20338
## [18745] 20505 20672 20839 21006 21173 21340 21507 21674 21841 22008 22175 22342
## [18757] 22509 22676 22843 23010 23177 23344 23508 23675 23842 24009 24176 24343
## [18769] 24510 24677 24844 25011 25178 25345 25512 25679 25846 26013 26180 26340
## [18781] 26507 26674 26841 27008 27175 27342 27509 27676 27843 28010 28177 28344
## [18793] 28511 28678 28845 29012 29179 29346   108   275   442   609   776   943
## [18805]  1110  1277  1444  1611  1778  1945  2112  2279  2446  2613  2780  2947
## [18817]  3114  3281  3448  3615  3782  3949  4116  4283  4450  4617  4784  4951
## [18829]  5118  5285  5452  5619  5786  5953  6120  6287  6454  6621  6788  6955
## [18841]  7122  7289  7456  7623  7790  7957  8124  8291  8458  8625  8792  8959
## [18853]  9126  9293  9460  9627  9794  9961 10128 10216 10383 10550 10717 10884
## [18865] 11051 11218 11385 11552 11718 11885 12052 12219 12386 12553 12720 12887
## [18877] 13054 13221 13388 13555 13722 13889 14056 14223 14390 14557 14724 14891
## [18889] 15058 15225 15392 15559 15726 15893 16060 16227 16394 16499 16666 16832
## [18901] 16999 17166 17333 17500 17667 17834 18001 18168 18335 18502 18669 18836
## [18913] 19003 19170 19337 19504 19671 19838 20005 20172 20339 20506 20673 20840
## [18925] 21007 21174 21341 21508 21675 21842 22009 22176 22343 22510 22677 22844
## [18937] 23011 23178 23345 23509 23676 23843 24010 24177 24344 24511 24678 24845
## [18949] 25012 25179 25346 25513 25680 25847 26014 26181 26341 26508 26675 26842
## [18961] 27009 27176 27343 27510 27677 27844 28011 28178 28345 28512 28679 28846
## [18973] 29013 29180 29347   109   276   443   610   777   944  1111  1278  1445
## [18985]  1612  1779  1946  2113  2280  2447  2614  2781  2948  3115  3282  3449
## [18997]  3616  3783  3950  4117  4284  4451  4618  4785  4952  5119  5286  5453
## [19009]  5620  5787  5954  6121  6288  6455  6622  6789  6956  7123  7290  7457
## [19021]  7624  7791  7958  8125  8292  8459  8626  8793  8960  9127  9294  9461
## [19033]  9628  9795  9962 10129 10217 10384 10551 10718 10885 11052 11219 11386
## [19045] 11553 11719 11886 12053 12220 12387 12554 12721 12888 13055 13222 13389
## [19057] 13556 13723 13890 14057 14224 14391 14558 14725 14892 15059 15226 15393
## [19069] 15560 15727 15894 16061 16228 16395 16500 16667 16833 17000 17167 17334
## [19081] 17501 17668 17835 18002 18169 18336 18503 18670 18837 19004 19171 19338
## [19093] 19505 19672 19839 20006 20173 20340 20507 20674 20841 21008 21175 21342
## [19105] 21509 21676 21843 22010 22177 22344 22511 22678 22845 23012 23179 23346
## [19117] 23510 23677 23844 24011 24178 24345 24512 24679 24846 25013 25180 25347
## [19129] 25514 25681 25848 26015 26182 26342 26509 26676 26843 27010 27177 27344
## [19141] 27511 27678 27845 28012 28179 28346 28513 28680 28847 29014 29181 29348
## [19153]   110   277   444   611   778   945  1112  1279  1446  1613  1780  1947
## [19165]  2114  2281  2448  2615  2782  2949  3116  3283  3450  3617  3784  3951
## [19177]  4118  4285  4452  4619  4786  4953  5120  5287  5454  5621  5788  5955
## [19189]  6122  6289  6456  6623  6790  6957  7124  7291  7458  7625  7792  7959
## [19201]  8126  8293  8460  8627  8794  8961  9128  9295  9462  9629  9796  9963
## [19213] 10130 10218 10385 10552 10719 10886 11053 11220 11387 11554 11720 11887
## [19225] 12054 12221 12388 12555 12722 12889 13056 13223 13390 13557 13724 13891
## [19237] 14058 14225 14392 14559 14726 14893 15060 15227 15394 15561 15728 15895
## [19249] 16062 16229 16396 16501 16668 16834 17001 17168 17335 17502 17669 17836
## [19261] 18003 18170 18337 18504 18671 18838 19005 19172 19339 19506 19673 19840
## [19273] 20007 20174 20341 20508 20675 20842 21009 21176 21343 21510 21677 21844
## [19285] 22011 22178 22345 22512 22679 22846 23013 23180 23347 23511 23678 23845
## [19297] 24012 24179 24346 24513 24680 24847 25014 25181 25348 25515 25682 25849
## [19309] 26016 26183 26343 26510 26677 26844 27011 27178 27345 27512 27679 27846
## [19321] 28013 28180 28347 28514 28681 28848 29015 29182 29349   111   278   445
## [19333]   612   779   946  1113  1280  1447  1614  1781  1948  2115  2282  2449
## [19345]  2616  2783  2950  3117  3284  3451  3618  3785  3952  4119  4286  4453
## [19357]  4620  4787  4954  5121  5288  5455  5622  5789  5956  6123  6290  6457
## [19369]  6624  6791  6958  7125  7292  7459  7626  7793  7960  8127  8294  8461
## [19381]  8628  8795  8962  9129  9296  9463  9630  9797  9964 10131 10219 10386
## [19393] 10553 10720 10887 11054 11221 11388 11555 11721 11888 12055 12222 12389
## [19405] 12556 12723 12890 13057 13224 13391 13558 13725 13892 14059 14226 14393
## [19417] 14560 14727 14894 15061 15228 15395 15562 15729 15896 16063 16230 16397
## [19429] 16502 16669 16835 17002 17169 17336 17503 17670 17837 18004 18171 18338
## [19441] 18505 18672 18839 19006 19173 19340 19507 19674 19841 20008 20175 20342
## [19453] 20509 20676 20843 21010 21177 21344 21511 21678 21845 22012 22179 22346
## [19465] 22513 22680 22847 23014 23181 23348 23512 23679 23846 24013 24180 24347
## [19477] 24514 24681 24848 25015 25182 25349 25516 25683 25850 26017 26184 26344
## [19489] 26511 26678 26845 27012 27179 27346 27513 27680 27847 28014 28181 28348
## [19501] 28515 28682 28849 29016 29183 29350   112   279   446   613   780   947
## [19513]  1114  1281  1448  1615  1782  1949  2116  2283  2450  2617  2784  2951
## [19525]  3118  3285  3452  3619  3786  3953  4120  4287  4454  4621  4788  4955
## [19537]  5122  5289  5456  5623  5790  5957  6124  6291  6458  6625  6792  6959
## [19549]  7126  7293  7460  7627  7794  7961  8128  8295  8462  8629  8796  8963
## [19561]  9130  9297  9464  9631  9798  9965 10132 10220 10387 10554 10721 10888
## [19573] 11055 11222 11389 11556 11722 11889 12056 12223 12390 12557 12724 12891
## [19585] 13058 13225 13392 13559 13726 13893 14060 14227 14394 14561 14728 14895
## [19597] 15062 15229 15396 15563 15730 15897 16064 16231 16398 16503 16670 16836
## [19609] 17003 17170 17337 17504 17671 17838 18005 18172 18339 18506 18673 18840
## [19621] 19007 19174 19341 19508 19675 19842 20009 20176 20343 20510 20677 20844
## [19633] 21011 21178 21345 21512 21679 21846 22013 22180 22347 22514 22681 22848
## [19645] 23015 23182 23349 23513 23680 23847 24014 24181 24348 24515 24682 24849
## [19657] 25016 25183 25350 25517 25684 25851 26018 26185 26345 26512 26679 26846
## [19669] 27013 27180 27347 27514 27681 27848 28015 28182 28349 28516 28683 28850
## [19681] 29017 29184 29351   113   280   447   614   781   948  1115  1282  1449
## [19693]  1616  1783  1950  2117  2284  2451  2618  2785  2952  3119  3286  3453
## [19705]  3620  3787  3954  4121  4288  4455  4622  4789  4956  5123  5290  5457
## [19717]  5624  5791  5958  6125  6292  6459  6626  6793  6960  7127  7294  7461
## [19729]  7628  7795  7962  8129  8296  8463  8630  8797  8964  9131  9298  9465
## [19741]  9632  9799  9966 10133 10221 10388 10555 10722 10889 11056 11223 11390
## [19753] 11557 11723 11890 12057 12224 12391 12558 12725 12892 13059 13226 13393
## [19765] 13560 13727 13894 14061 14228 14395 14562 14729 14896 15063 15230 15397
## [19777] 15564 15731 15898 16065 16232 16399 16504 16671 16837 17004 17171 17338
## [19789] 17505 17672 17839 18006 18173 18340 18507 18674 18841 19008 19175 19342
## [19801] 19509 19676 19843 20010 20177 20344 20511 20678 20845 21012 21179 21346
## [19813] 21513 21680 21847 22014 22181 22348 22515 22682 22849 23016 23183 23350
## [19825] 23514 23681 23848 24015 24182 24349 24516 24683 24850 25017 25184 25351
## [19837] 25518 25685 25852 26019 26186 26346 26513 26680 26847 27014 27181 27348
## [19849] 27515 27682 27849 28016 28183 28350 28517 28684 28851 29018 29185 29352
## [19861]   114   281   448   615   782   949  1116  1283  1450  1617  1784  1951
## [19873]  2118  2285  2452  2619  2786  2953  3120  3287  3454  3621  3788  3955
## [19885]  4122  4289  4456  4623  4790  4957  5124  5291  5458  5625  5792  5959
## [19897]  6126  6293  6460  6627  6794  6961  7128  7295  7462  7629  7796  7963
## [19909]  8130  8297  8464  8631  8798  8965  9132  9299  9466  9633  9800  9967
## [19921] 10134 10222 10389 10556 10723 10890 11057 11224 11391 11558 11724 11891
## [19933] 12058 12225 12392 12559 12726 12893 13060 13227 13394 13561 13728 13895
## [19945] 14062 14229 14396 14563 14730 14897 15064 15231 15398 15565 15732 15899
## [19957] 16066 16233 16400 16505 16672 16838 17005 17172 17339 17506 17673 17840
## [19969] 18007 18174 18341 18508 18675 18842 19009 19176 19343 19510 19677 19844
## [19981] 20011 20178 20345 20512 20679 20846 21013 21180 21347 21514 21681 21848
## [19993] 22015 22182 22349 22516 22683 22850 23017 23184 23351 23515 23682 23849
## [20005] 24016 24183 24350 24517 24684 24851 25018 25185 25352 25519 25686 25853
## [20017] 26020 26187 26347 26514 26681 26848 27015 27182 27349 27516 27683 27850
## [20029] 28017 28184 28351 28518 28685 28852 29019 29186 29353   115   282   449
## [20041]   616   783   950  1117  1284  1451  1618  1785  1952  2119  2286  2453
## [20053]  2620  2787  2954  3121  3288  3455  3622  3789  3956  4123  4290  4457
## [20065]  4624  4791  4958  5125  5292  5459  5626  5793  5960  6127  6294  6461
## [20077]  6628  6795  6962  7129  7296  7463  7630  7797  7964  8131  8298  8465
## [20089]  8632  8799  8966  9133  9300  9467  9634  9801  9968 10135 10223 10390
## [20101] 10557 10724 10891 11058 11225 11392 11559 11725 11892 12059 12226 12393
## [20113] 12560 12727 12894 13061 13228 13395 13562 13729 13896 14063 14230 14397
## [20125] 14564 14731 14898 15065 15232 15399 15566 15733 15900 16067 16234 16401
## [20137] 16506 16673 16839 17006 17173 17340 17507 17674 17841 18008 18175 18342
## [20149] 18509 18676 18843 19010 19177 19344 19511 19678 19845 20012 20179 20346
## [20161] 20513 20680 20847 21014 21181 21348 21515 21682 21849 22016 22183 22350
## [20173] 22517 22684 22851 23018 23185 23352 23516 23683 23850 24017 24184 24351
## [20185] 24518 24685 24852 25019 25186 25353 25520 25687 25854 26021 26188 26348
## [20197] 26515 26682 26849 27016 27183 27350 27517 27684 27851 28018 28185 28352
## [20209] 28519 28686 28853 29020 29187 29354   116   283   450   617   784   951
## [20221]  1118  1285  1452  1619  1786  1953  2120  2287  2454  2621  2788  2955
## [20233]  3122  3289  3456  3623  3790  3957  4124  4291  4458  4625  4792  4959
## [20245]  5126  5293  5460  5627  5794  5961  6128  6295  6462  6629  6796  6963
## [20257]  7130  7297  7464  7631  7798  7965  8132  8299  8466  8633  8800  8967
## [20269]  9134  9301  9468  9635  9802  9969 10136 10224 10391 10558 10725 10892
## [20281] 11059 11226 11393 11560 11726 11893 12060 12227 12394 12561 12728 12895
## [20293] 13062 13229 13396 13563 13730 13897 14064 14231 14398 14565 14732 14899
## [20305] 15066 15233 15400 15567 15734 15901 16068 16235 16402 16507 16674 16840
## [20317] 17007 17174 17341 17508 17675 17842 18009 18176 18343 18510 18677 18844
## [20329] 19011 19178 19345 19512 19679 19846 20013 20180 20347 20514 20681 20848
## [20341] 21015 21182 21349 21516 21683 21850 22017 22184 22351 22518 22685 22852
## [20353] 23019 23186 23353 23517 23684 23851 24018 24185 24352 24519 24686 24853
## [20365] 25020 25187 25354 25521 25688 25855 26022 26189 26349 26516 26683 26850
## [20377] 27017 27184 27351 27518 27685 27852 28019 28186 28353 28520 28687 28854
## [20389] 29021 29188 29355   117   284   451   618   785   952  1119  1286  1453
## [20401]  1620  1787  1954  2121  2288  2455  2622  2789  2956  3123  3290  3457
## [20413]  3624  3791  3958  4125  4292  4459  4626  4793  4960  5127  5294  5461
## [20425]  5628  5795  5962  6129  6296  6463  6630  6797  6964  7131  7298  7465
## [20437]  7632  7799  7966  8133  8300  8467  8634  8801  8968  9135  9302  9469
## [20449]  9636  9803  9970 10137 10225 10392 10559 10726 10893 11060 11227 11394
## [20461] 11561 11727 11894 12061 12228 12395 12562 12729 12896 13063 13230 13397
## [20473] 13564 13731 13898 14065 14232 14399 14566 14733 14900 15067 15234 15401
## [20485] 15568 15735 15902 16069 16236 16403 16508 16675 16841 17008 17175 17342
## [20497] 17509 17676 17843 18010 18177 18344 18511 18678 18845 19012 19179 19346
## [20509] 19513 19680 19847 20014 20181 20348 20515 20682 20849 21016 21183 21350
## [20521] 21517 21684 21851 22018 22185 22352 22519 22686 22853 23020 23187 23354
## [20533] 23518 23685 23852 24019 24186 24353 24520 24687 24854 25021 25188 25355
## [20545] 25522 25689 25856 26023 26190 26350 26517 26684 26851 27018 27185 27352
## [20557] 27519 27686 27853 28020 28187 28354 28521 28688 28855 29022 29189 29356
## [20569]   118   285   452   619   786   953  1120  1287  1454  1621  1788  1955
## [20581]  2122  2289  2456  2623  2790  2957  3124  3291  3458  3625  3792  3959
## [20593]  4126  4293  4460  4627  4794  4961  5128  5295  5462  5629  5796  5963
## [20605]  6130  6297  6464  6631  6798  6965  7132  7299  7466  7633  7800  7967
## [20617]  8134  8301  8468  8635  8802  8969  9136  9303  9470  9637  9804  9971
## [20629] 10138 10226 10393 10560 10727 10894 11061 11228 11395 11562 11728 11895
## [20641] 12062 12229 12396 12563 12730 12897 13064 13231 13398 13565 13732 13899
## [20653] 14066 14233 14400 14567 14734 14901 15068 15235 15402 15569 15736 15903
## [20665] 16070 16237 16404 16509 16676 16842 17009 17176 17343 17510 17677 17844
## [20677] 18011 18178 18345 18512 18679 18846 19013 19180 19347 19514 19681 19848
## [20689] 20015 20182 20349 20516 20683 20850 21017 21184 21351 21518 21685 21852
## [20701] 22019 22186 22353 22520 22687 22854 23021 23188 23355 23519 23686 23853
## [20713] 24020 24187 24354 24521 24688 24855 25022 25189 25356 25523 25690 25857
## [20725] 26024 26191 26351 26518 26685 26852 27019 27186 27353 27520 27687 27854
## [20737] 28021 28188 28355 28522 28689 28856 29023 29190 29357   119   286   453
## [20749]   620   787   954  1121  1288  1455  1622  1789  1956  2123  2290  2457
## [20761]  2624  2791  2958  3125  3292  3459  3626  3793  3960  4127  4294  4461
## [20773]  4628  4795  4962  5129  5296  5463  5630  5797  5964  6131  6298  6465
## [20785]  6632  6799  6966  7133  7300  7467  7634  7801  7968  8135  8302  8469
## [20797]  8636  8803  8970  9137  9304  9471  9638  9805  9972 10139 10227 10394
## [20809] 10561 10728 10895 11062 11229 11396 11563 11729 11896 12063 12230 12397
## [20821] 12564 12731 12898 13065 13232 13399 13566 13733 13900 14067 14234 14401
## [20833] 14568 14735 14902 15069 15236 15403 15570 15737 15904 16071 16238 16405
## [20845] 16510 16677 16843 17010 17177 17344 17511 17678 17845 18012 18179 18346
## [20857] 18513 18680 18847 19014 19181 19348 19515 19682 19849 20016 20183 20350
## [20869] 20517 20684 20851 21018 21185 21352 21519 21686 21853 22020 22187 22354
## [20881] 22521 22688 22855 23022 23189 23356 23520 23687 23854 24021 24188 24355
## [20893] 24522 24689 24856 25023 25190 25357 25524 25691 25858 26025 26192 26352
## [20905] 26519 26686 26853 27020 27187 27354 27521 27688 27855 28022 28189 28356
## [20917] 28523 28690 28857 29024 29191 29358   120   287   454   621   788   955
## [20929]  1122  1289  1456  1623  1790  1957  2124  2291  2458  2625  2792  2959
## [20941]  3126  3293  3460  3627  3794  3961  4128  4295  4462  4629  4796  4963
## [20953]  5130  5297  5464  5631  5798  5965  6132  6299  6466  6633  6800  6967
## [20965]  7134  7301  7468  7635  7802  7969  8136  8303  8470  8637  8804  8971
## [20977]  9138  9305  9472  9639  9806  9973 10140 10228 10395 10562 10729 10896
## [20989] 11063 11230 11397 11564 11730 11897 12064 12231 12398 12565 12732 12899
## [21001] 13066 13233 13400 13567 13734 13901 14068 14235 14402 14569 14736 14903
## [21013] 15070 15237 15404 15571 15738 15905 16072 16239 16406 16511 16678 16844
## [21025] 17011 17178 17345 17512 17679 17846 18013 18180 18347 18514 18681 18848
## [21037] 19015 19182 19349 19516 19683 19850 20017 20184 20351 20518 20685 20852
## [21049] 21019 21186 21353 21520 21687 21854 22021 22188 22355 22522 22689 22856
## [21061] 23023 23190 23357 23521 23688 23855 24022 24189 24356 24523 24690 24857
## [21073] 25024 25191 25358 25525 25692 25859 26026 26193 26353 26520 26687 26854
## [21085] 27021 27188 27355 27522 27689 27856 28023 28190 28357 28524 28691 28858
## [21097] 29025 29192 29359   121   288   455   622   789   956  1123  1290  1457
## [21109]  1624  1791  1958  2125  2292  2459  2626  2793  2960  3127  3294  3461
## [21121]  3628  3795  3962  4129  4296  4463  4630  4797  4964  5131  5298  5465
## [21133]  5632  5799  5966  6133  6300  6467  6634  6801  6968  7135  7302  7469
## [21145]  7636  7803  7970  8137  8304  8471  8638  8805  8972  9139  9306  9473
## [21157]  9640  9807  9974 10141 10229 10396 10563 10730 10897 11064 11231 11398
## [21169] 11565 11731 11898 12065 12232 12399 12566 12733 12900 13067 13234 13401
## [21181] 13568 13735 13902 14069 14236 14403 14570 14737 14904 15071 15238 15405
## [21193] 15572 15739 15906 16073 16240 16407 16512 16679 16845 17012 17179 17346
## [21205] 17513 17680 17847 18014 18181 18348 18515 18682 18849 19016 19183 19350
## [21217] 19517 19684 19851 20018 20185 20352 20519 20686 20853 21020 21187 21354
## [21229] 21521 21688 21855 22022 22189 22356 22523 22690 22857 23024 23191 23358
## [21241] 23522 23689 23856 24023 24190 24357 24524 24691 24858 25025 25192 25359
## [21253] 25526 25693 25860 26027 26194 26354 26521 26688 26855 27022 27189 27356
## [21265] 27523 27690 27857 28024 28191 28358 28525 28692 28859 29026 29193 29360
## [21277]   122   289   456   623   790   957  1124  1291  1458  1625  1792  1959
## [21289]  2126  2293  2460  2627  2794  2961  3128  3295  3462  3629  3796  3963
## [21301]  4130  4297  4464  4631  4798  4965  5132  5299  5466  5633  5800  5967
## [21313]  6134  6301  6468  6635  6802  6969  7136  7303  7470  7637  7804  7971
## [21325]  8138  8305  8472  8639  8806  8973  9140  9307  9474  9641  9808  9975
## [21337] 10142 10230 10397 10564 10731 10898 11065 11232 11399 11566 11732 11899
## [21349] 12066 12233 12400 12567 12734 12901 13068 13235 13402 13569 13736 13903
## [21361] 14070 14237 14404 14571 14738 14905 15072 15239 15406 15573 15740 15907
## [21373] 16074 16241 16408 16513 16680 16846 17013 17180 17347 17514 17681 17848
## [21385] 18015 18182 18349 18516 18683 18850 19017 19184 19351 19518 19685 19852
## [21397] 20019 20186 20353 20520 20687 20854 21021 21188 21355 21522 21689 21856
## [21409] 22023 22190 22357 22524 22691 22858 23025 23192 23359 23523 23690 23857
## [21421] 24024 24191 24358 24525 24692 24859 25026 25193 25360 25527 25694 25861
## [21433] 26028 26195 26355 26522 26689 26856 27023 27190 27357 27524 27691 27858
## [21445] 28025 28192 28359 28526 28693 28860 29027 29194 29361   123   290   457
## [21457]   624   791   958  1125  1292  1459  1626  1793  1960  2127  2294  2461
## [21469]  2628  2795  2962  3129  3296  3463  3630  3797  3964  4131  4298  4465
## [21481]  4632  4799  4966  5133  5300  5467  5634  5801  5968  6135  6302  6469
## [21493]  6636  6803  6970  7137  7304  7471  7638  7805  7972  8139  8306  8473
## [21505]  8640  8807  8974  9141  9308  9475  9642  9809  9976 10143 10231 10398
## [21517] 10565 10732 10899 11066 11233 11400 11567 11733 11900 12067 12234 12401
## [21529] 12568 12735 12902 13069 13236 13403 13570 13737 13904 14071 14238 14405
## [21541] 14572 14739 14906 15073 15240 15407 15574 15741 15908 16075 16242 16409
## [21553] 16514 16681 16847 17014 17181 17348 17515 17682 17849 18016 18183 18350
## [21565] 18517 18684 18851 19018 19185 19352 19519 19686 19853 20020 20187 20354
## [21577] 20521 20688 20855 21022 21189 21356 21523 21690 21857 22024 22191 22358
## [21589] 22525 22692 22859 23026 23193 23360 23524 23691 23858 24025 24192 24359
## [21601] 24526 24693 24860 25027 25194 25361 25528 25695 25862 26029 26196 26356
## [21613] 26523 26690 26857 27024 27191 27358 27525 27692 27859 28026 28193 28360
## [21625] 28527 28694 28861 29028 29195 29362   124   291   458   625   792   959
## [21637]  1126  1293  1460  1627  1794  1961  2128  2295  2462  2629  2796  2963
## [21649]  3130  3297  3464  3631  3798  3965  4132  4299  4466  4633  4800  4967
## [21661]  5134  5301  5468  5635  5802  5969  6136  6303  6470  6637  6804  6971
## [21673]  7138  7305  7472  7639  7806  7973  8140  8307  8474  8641  8808  8975
## [21685]  9142  9309  9476  9643  9810  9977 10144 10232 10399 10566 10733 10900
## [21697] 11067 11234 11401 11568 11734 11901 12068 12235 12402 12569 12736 12903
## [21709] 13070 13237 13404 13571 13738 13905 14072 14239 14406 14573 14740 14907
## [21721] 15074 15241 15408 15575 15742 15909 16076 16243 16410 16515 16682 16848
## [21733] 17015 17182 17349 17516 17683 17850 18017 18184 18351 18518 18685 18852
## [21745] 19019 19186 19353 19520 19687 19854 20021 20188 20355 20522 20689 20856
## [21757] 21023 21190 21357 21524 21691 21858 22025 22192 22359 22526 22693 22860
## [21769] 23027 23194 23361 23525 23692 23859 24026 24193 24360 24527 24694 24861
## [21781] 25028 25195 25362 25529 25696 25863 26030 26197 26357 26524 26691 26858
## [21793] 27025 27192 27359 27526 27693 27860 28027 28194 28361 28528 28695 28862
## [21805] 29029 29196 29363   125   292   459   626   793   960  1127  1294  1461
## [21817]  1628  1795  1962  2129  2296  2463  2630  2797  2964  3131  3298  3465
## [21829]  3632  3799  3966  4133  4300  4467  4634  4801  4968  5135  5302  5469
## [21841]  5636  5803  5970  6137  6304  6471  6638  6805  6972  7139  7306  7473
## [21853]  7640  7807  7974  8141  8308  8475  8642  8809  8976  9143  9310  9477
## [21865]  9644  9811  9978 10145 10233 10400 10567 10734 10901 11068 11235 11402
## [21877] 11569 11735 11902 12069 12236 12403 12570 12737 12904 13071 13238 13405
## [21889] 13572 13739 13906 14073 14240 14407 14574 14741 14908 15075 15242 15409
## [21901] 15576 15743 15910 16077 16244 16411 16516 16683 16849 17016 17183 17350
## [21913] 17517 17684 17851 18018 18185 18352 18519 18686 18853 19020 19187 19354
## [21925] 19521 19688 19855 20022 20189 20356 20523 20690 20857 21024 21191 21358
## [21937] 21525 21692 21859 22026 22193 22360 22527 22694 22861 23028 23195 23362
## [21949] 23526 23693 23860 24027 24194 24361 24528 24695 24862 25029 25196 25363
## [21961] 25530 25697 25864 26031 26198 26358 26525 26692 26859 27026 27193 27360
## [21973] 27527 27694 27861 28028 28195 28362 28529 28696 28863 29030 29197 29364
## [21985]   126   293   460   627   794   961  1128  1295  1462  1629  1796  1963
## [21997]  2130  2297  2464  2631  2798  2965  3132  3299  3466  3633  3800  3967
## [22009]  4134  4301  4468  4635  4802  4969  5136  5303  5470  5637  5804  5971
## [22021]  6138  6305  6472  6639  6806  6973  7140  7307  7474  7641  7808  7975
## [22033]  8142  8309  8476  8643  8810  8977  9144  9311  9478  9645  9812  9979
## [22045] 10146 10234 10401 10568 10735 10902 11069 11236 11403 11570 11736 11903
## [22057] 12070 12237 12404 12571 12738 12905 13072 13239 13406 13573 13740 13907
## [22069] 14074 14241 14408 14575 14742 14909 15076 15243 15410 15577 15744 15911
## [22081] 16078 16245 16412 16517 16684 16850 17017 17184 17351 17518 17685 17852
## [22093] 18019 18186 18353 18520 18687 18854 19021 19188 19355 19522 19689 19856
## [22105] 20023 20190 20357 20524 20691 20858 21025 21192 21359 21526 21693 21860
## [22117] 22027 22194 22361 22528 22695 22862 23029 23196 23363 23527 23694 23861
## [22129] 24028 24195 24362 24529 24696 24863 25030 25197 25364 25531 25698 25865
## [22141] 26032 26199 26359 26526 26693 26860 27027 27194 27361 27528 27695 27862
## [22153] 28029 28196 28363 28530 28697 28864 29031 29198 29365   127   294   461
## [22165]   628   795   962  1129  1296  1463  1630  1797  1964  2131  2298  2465
## [22177]  2632  2799  2966  3133  3300  3467  3634  3801  3968  4135  4302  4469
## [22189]  4636  4803  4970  5137  5304  5471  5638  5805  5972  6139  6306  6473
## [22201]  6640  6807  6974  7141  7308  7475  7642  7809  7976  8143  8310  8477
## [22213]  8644  8811  8978  9145  9312  9479  9646  9813  9980 10147 10235 10402
## [22225] 10569 10736 10903 11070 11237 11404 11571 11737 11904 12071 12238 12405
## [22237] 12572 12739 12906 13073 13240 13407 13574 13741 13908 14075 14242 14409
## [22249] 14576 14743 14910 15077 15244 15411 15578 15745 15912 16079 16246 16413
## [22261] 16518 16685 16851 17018 17185 17352 17519 17686 17853 18020 18187 18354
## [22273] 18521 18688 18855 19022 19189 19356 19523 19690 19857 20024 20191 20358
## [22285] 20525 20692 20859 21026 21193 21360 21527 21694 21861 22028 22195 22362
## [22297] 22529 22696 22863 23030 23197 23364 23528 23695 23862 24029 24196 24363
## [22309] 24530 24697 24864 25031 25198 25365 25532 25699 25866 26033 26200 26360
## [22321] 26527 26694 26861 27028 27195 27362 27529 27696 27863 28030 28197 28364
## [22333] 28531 28698 28865 29032 29199 29366   128   295   462   629   796   963
## [22345]  1130  1297  1464  1631  1798  1965  2132  2299  2466  2633  2800  2967
## [22357]  3134  3301  3468  3635  3802  3969  4136  4303  4470  4637  4804  4971
## [22369]  5138  5305  5472  5639  5806  5973  6140  6307  6474  6641  6808  6975
## [22381]  7142  7309  7476  7643  7810  7977  8144  8311  8478  8645  8812  8979
## [22393]  9146  9313  9480  9647  9814  9981 10148 10236 10403 10570 10737 10904
## [22405] 11071 11238 11405 11572 11738 11905 12072 12239 12406 12573 12740 12907
## [22417] 13074 13241 13408 13575 13742 13909 14076 14243 14410 14577 14744 14911
## [22429] 15078 15245 15412 15579 15746 15913 16080 16247 16414 16519 16686 16852
## [22441] 17019 17186 17353 17520 17687 17854 18021 18188 18355 18522 18689 18856
## [22453] 19023 19190 19357 19524 19691 19858 20025 20192 20359 20526 20693 20860
## [22465] 21027 21194 21361 21528 21695 21862 22029 22196 22363 22530 22697 22864
## [22477] 23031 23198 23365 23529 23696 23863 24030 24197 24364 24531 24698 24865
## [22489] 25032 25199 25366 25533 25700 25867 26034 26201 26361 26528 26695 26862
## [22501] 27029 27196 27363 27530 27697 27864 28031 28198 28365 28532 28699 28866
## [22513] 29033 29200 29367   129   296   463   630   797   964  1131  1298  1465
## [22525]  1632  1799  1966  2133  2300  2467  2634  2801  2968  3135  3302  3469
## [22537]  3636  3803  3970  4137  4304  4471  4638  4805  4972  5139  5306  5473
## [22549]  5640  5807  5974  6141  6308  6475  6642  6809  6976  7143  7310  7477
## [22561]  7644  7811  7978  8145  8312  8479  8646  8813  8980  9147  9314  9481
## [22573]  9648  9815  9982 10149 10237 10404 10571 10738 10905 11072 11239 11406
## [22585] 11573 11739 11906 12073 12240 12407 12574 12741 12908 13075 13242 13409
## [22597] 13576 13743 13910 14077 14244 14411 14578 14745 14912 15079 15246 15413
## [22609] 15580 15747 15914 16081 16248 16415 16520 16687 16853 17020 17187 17354
## [22621] 17521 17688 17855 18022 18189 18356 18523 18690 18857 19024 19191 19358
## [22633] 19525 19692 19859 20026 20193 20360 20527 20694 20861 21028 21195 21362
## [22645] 21529 21696 21863 22030 22197 22364 22531 22698 22865 23032 23199 23366
## [22657] 23530 23697 23864 24031 24198 24365 24532 24699 24866 25033 25200 25367
## [22669] 25534 25701 25868 26035 26202 26362 26529 26696 26863 27030 27197 27364
## [22681] 27531 27698 27865 28032 28199 28366 28533 28700 28867 29034 29201 29368
## [22693]   130   297   464   631   798   965  1132  1299  1466  1633  1800  1967
## [22705]  2134  2301  2468  2635  2802  2969  3136  3303  3470  3637  3804  3971
## [22717]  4138  4305  4472  4639  4806  4973  5140  5307  5474  5641  5808  5975
## [22729]  6142  6309  6476  6643  6810  6977  7144  7311  7478  7645  7812  7979
## [22741]  8146  8313  8480  8647  8814  8981  9148  9315  9482  9649  9816  9983
## [22753] 10150 10238 10405 10572 10739 10906 11073 11240 11407 11574 11740 11907
## [22765] 12074 12241 12408 12575 12742 12909 13076 13243 13410 13577 13744 13911
## [22777] 14078 14245 14412 14579 14746 14913 15080 15247 15414 15581 15748 15915
## [22789] 16082 16249 16416 16521 16688 16854 17021 17188 17355 17522 17689 17856
## [22801] 18023 18190 18357 18524 18691 18858 19025 19192 19359 19526 19693 19860
## [22813] 20027 20194 20361 20528 20695 20862 21029 21196 21363 21530 21697 21864
## [22825] 22031 22198 22365 22532 22699 22866 23033 23200 23367 23531 23698 23865
## [22837] 24032 24199 24366 24533 24700 24867 25034 25201 25368 25535 25702 25869
## [22849] 26036 26203 26363 26530 26697 26864 27031 27198 27365 27532 27699 27866
## [22861] 28033 28200 28367 28534 28701 28868 29035 29202 29369   131   298   465
## [22873]   632   799   966  1133  1300  1467  1634  1801  1968  2135  2302  2469
## [22885]  2636  2803  2970  3137  3304  3471  3638  3805  3972  4139  4306  4473
## [22897]  4640  4807  4974  5141  5308  5475  5642  5809  5976  6143  6310  6477
## [22909]  6644  6811  6978  7145  7312  7479  7646  7813  7980  8147  8314  8481
## [22921]  8648  8815  8982  9149  9316  9483  9650  9817  9984 10151 10239 10406
## [22933] 10573 10740 10907 11074 11241 11408 11575 11741 11908 12075 12242 12409
## [22945] 12576 12743 12910 13077 13244 13411 13578 13745 13912 14079 14246 14413
## [22957] 14580 14747 14914 15081 15248 15415 15582 15749 15916 16083 16250 16417
## [22969] 16522 16689 16855 17022 17189 17356 17523 17690 17857 18024 18191 18358
## [22981] 18525 18692 18859 19026 19193 19360 19527 19694 19861 20028 20195 20362
## [22993] 20529 20696 20863 21030 21197 21364 21531 21698 21865 22032 22199 22366
## [23005] 22533 22700 22867 23034 23201 23368 23532 23699 23866 24033 24200 24367
## [23017] 24534 24701 24868 25035 25202 25369 25536 25703 25870 26037 26204 26364
## [23029] 26531 26698 26865 27032 27199 27366 27533 27700 27867 28034 28201 28368
## [23041] 28535 28702 28869 29036 29203 29370   132   299   466   633   800   967
## [23053]  1134  1301  1468  1635  1802  1969  2136  2303  2470  2637  2804  2971
## [23065]  3138  3305  3472  3639  3806  3973  4140  4307  4474  4641  4808  4975
## [23077]  5142  5309  5476  5643  5810  5977  6144  6311  6478  6645  6812  6979
## [23089]  7146  7313  7480  7647  7814  7981  8148  8315  8482  8649  8816  8983
## [23101]  9150  9317  9484  9651  9818  9985 10152 10240 10407 10574 10741 10908
## [23113] 11075 11242 11409 11576 11742 11909 12076 12243 12410 12577 12744 12911
## [23125] 13078 13245 13412 13579 13746 13913 14080 14247 14414 14581 14748 14915
## [23137] 15082 15249 15416 15583 15750 15917 16084 16251 16418 16523 16690 16856
## [23149] 17023 17190 17357 17524 17691 17858 18025 18192 18359 18526 18693 18860
## [23161] 19027 19194 19361 19528 19695 19862 20029 20196 20363 20530 20697 20864
## [23173] 21031 21198 21365 21532 21699 21866 22033 22200 22367 22534 22701 22868
## [23185] 23035 23202 23369 23533 23700 23867 24034 24201 24368 24535 24702 24869
## [23197] 25036 25203 25370 25537 25704 25871 26038 26205 26365 26532 26699 26866
## [23209] 27033 27200 27367 27534 27701 27868 28035 28202 28369 28536 28703 28870
## [23221] 29037 29204 29371   133   300   467   634   801   968  1135  1302  1469
## [23233]  1636  1803  1970  2137  2304  2471  2638  2805  2972  3139  3306  3473
## [23245]  3640  3807  3974  4141  4308  4475  4642  4809  4976  5143  5310  5477
## [23257]  5644  5811  5978  6145  6312  6479  6646  6813  6980  7147  7314  7481
## [23269]  7648  7815  7982  8149  8316  8483  8650  8817  8984  9151  9318  9485
## [23281]  9652  9819  9986 10153 10241 10408 10575 10742 10909 11076 11243 11410
## [23293] 11577 11743 11910 12077 12244 12411 12578 12745 12912 13079 13246 13413
## [23305] 13580 13747 13914 14081 14248 14415 14582 14749 14916 15083 15250 15417
## [23317] 15584 15751 15918 16085 16252 16419 16524 16691 16857 17024 17191 17358
## [23329] 17525 17692 17859 18026 18193 18360 18527 18694 18861 19028 19195 19362
## [23341] 19529 19696 19863 20030 20197 20364 20531 20698 20865 21032 21199 21366
## [23353] 21533 21700 21867 22034 22201 22368 22535 22702 22869 23036 23203 23370
## [23365] 23534 23701 23868 24035 24202 24369 24536 24703 24870 25037 25204 25371
## [23377] 25538 25705 25872 26039 26206 26366 26533 26700 26867 27034 27201 27368
## [23389] 27535 27702 27869 28036 28203 28370 28537 28704 28871 29038 29205 29372
## [23401]   134   301   468   635   802   969  1136  1303  1470  1637  1804  1971
## [23413]  2138  2305  2472  2639  2806  2973  3140  3307  3474  3641  3808  3975
## [23425]  4142  4309  4476  4643  4810  4977  5144  5311  5478  5645  5812  5979
## [23437]  6146  6313  6480  6647  6814  6981  7148  7315  7482  7649  7816  7983
## [23449]  8150  8317  8484  8651  8818  8985  9152  9319  9486  9653  9820  9987
## [23461] 10154 10242 10409 10576 10743 10910 11077 11244 11411 11578 11744 11911
## [23473] 12078 12245 12412 12579 12746 12913 13080 13247 13414 13581 13748 13915
## [23485] 14082 14249 14416 14583 14750 14917 15084 15251 15418 15585 15752 15919
## [23497] 16086 16253 16420 16525 16692 16858 17025 17192 17359 17526 17693 17860
## [23509] 18027 18194 18361 18528 18695 18862 19029 19196 19363 19530 19697 19864
## [23521] 20031 20198 20365 20532 20699 20866 21033 21200 21367 21534 21701 21868
## [23533] 22035 22202 22369 22536 22703 22870 23037 23204 23371 23535 23702 23869
## [23545] 24036 24203 24370 24537 24704 24871 25038 25205 25372 25539 25706 25873
## [23557] 26040 26207 26367 26534 26701 26868 27035 27202 27369 27536 27703 27870
## [23569] 28037 28204 28371 28538 28705 28872 29039 29206 29373   135   302   469
## [23581]   636   803   970  1137  1304  1471  1638  1805  1972  2139  2306  2473
## [23593]  2640  2807  2974  3141  3308  3475  3642  3809  3976  4143  4310  4477
## [23605]  4644  4811  4978  5145  5312  5479  5646  5813  5980  6147  6314  6481
## [23617]  6648  6815  6982  7149  7316  7483  7650  7817  7984  8151  8318  8485
## [23629]  8652  8819  8986  9153  9320  9487  9654  9821  9988 10155 10243 10410
## [23641] 10577 10744 10911 11078 11245 11412 11579 11745 11912 12079 12246 12413
## [23653] 12580 12747 12914 13081 13248 13415 13582 13749 13916 14083 14250 14417
## [23665] 14584 14751 14918 15085 15252 15419 15586 15753 15920 16087 16254 16421
## [23677] 16526 16693 16859 17026 17193 17360 17527 17694 17861 18028 18195 18362
## [23689] 18529 18696 18863 19030 19197 19364 19531 19698 19865 20032 20199 20366
## [23701] 20533 20700 20867 21034 21201 21368 21535 21702 21869 22036 22203 22370
## [23713] 22537 22704 22871 23038 23205 23372 23536 23703 23870 24037 24204 24371
## [23725] 24538 24705 24872 25039 25206 25373 25540 25707 25874 26041 26208 26368
## [23737] 26535 26702 26869 27036 27203 27370 27537 27704 27871 28038 28205 28372
## [23749] 28539 28706 28873 29040 29207 29374   136   303   470   637   804   971
## [23761]  1138  1305  1472  1639  1806  1973  2140  2307  2474  2641  2808  2975
## [23773]  3142  3309  3476  3643  3810  3977  4144  4311  4478  4645  4812  4979
## [23785]  5146  5313  5480  5647  5814  5981  6148  6315  6482  6649  6816  6983
## [23797]  7150  7317  7484  7651  7818  7985  8152  8319  8486  8653  8820  8987
## [23809]  9154  9321  9488  9655  9822  9989 10156 10244 10411 10578 10745 10912
## [23821] 11079 11246 11413 11580 11746 11913 12080 12247 12414 12581 12748 12915
## [23833] 13082 13249 13416 13583 13750 13917 14084 14251 14418 14585 14752 14919
## [23845] 15086 15253 15420 15587 15754 15921 16088 16255 16422 16527 16694 16860
## [23857] 17027 17194 17361 17528 17695 17862 18029 18196 18363 18530 18697 18864
## [23869] 19031 19198 19365 19532 19699 19866 20033 20200 20367 20534 20701 20868
## [23881] 21035 21202 21369 21536 21703 21870 22037 22204 22371 22538 22705 22872
## [23893] 23039 23206 23373 23537 23704 23871 24038 24205 24372 24539 24706 24873
## [23905] 25040 25207 25374 25541 25708 25875 26042 26209 26369 26536 26703 26870
## [23917] 27037 27204 27371 27538 27705 27872 28039 28206 28373 28540 28707 28874
## [23929] 29041 29208 29375   137   304   471   638   805   972  1139  1306  1473
## [23941]  1640  1807  1974  2141  2308  2475  2642  2809  2976  3143  3310  3477
## [23953]  3644  3811  3978  4145  4312  4479  4646  4813  4980  5147  5314  5481
## [23965]  5648  5815  5982  6149  6316  6483  6650  6817  6984  7151  7318  7485
## [23977]  7652  7819  7986  8153  8320  8487  8654  8821  8988  9155  9322  9489
## [23989]  9656  9823  9990 10157 10245 10412 10579 10746 10913 11080 11247 11414
## [24001] 11581 11747 11914 12081 12248 12415 12582 12749 12916 13083 13250 13417
## [24013] 13584 13751 13918 14085 14252 14419 14586 14753 14920 15087 15254 15421
## [24025] 15588 15755 15922 16089 16256 16423 16528 16695 16861 17028 17195 17362
## [24037] 17529 17696 17863 18030 18197 18364 18531 18698 18865 19032 19199 19366
## [24049] 19533 19700 19867 20034 20201 20368 20535 20702 20869 21036 21203 21370
## [24061] 21537 21704 21871 22038 22205 22372 22539 22706 22873 23040 23207 23374
## [24073] 23538 23705 23872 24039 24206 24373 24540 24707 24874 25041 25208 25375
## [24085] 25542 25709 25876 26043 26210 26370 26537 26704 26871 27038 27205 27372
## [24097] 27539 27706 27873 28040 28207 28374 28541 28708 28875 29042 29209 29376
## [24109]   138   305   472   639   806   973  1140  1307  1474  1641  1808  1975
## [24121]  2142  2309  2476  2643  2810  2977  3144  3311  3478  3645  3812  3979
## [24133]  4146  4313  4480  4647  4814  4981  5148  5315  5482  5649  5816  5983
## [24145]  6150  6317  6484  6651  6818  6985  7152  7319  7486  7653  7820  7987
## [24157]  8154  8321  8488  8655  8822  8989  9156  9323  9490  9657  9824  9991
## [24169] 10158 10246 10413 10580 10747 10914 11081 11248 11415 11582 11748 11915
## [24181] 12082 12249 12416 12583 12750 12917 13084 13251 13418 13585 13752 13919
## [24193] 14086 14253 14420 14587 14754 14921 15088 15255 15422 15589 15756 15923
## [24205] 16090 16257 16424 16529 16696 16862 17029 17196 17363 17530 17697 17864
## [24217] 18031 18198 18365 18532 18699 18866 19033 19200 19367 19534 19701 19868
## [24229] 20035 20202 20369 20536 20703 20870 21037 21204 21371 21538 21705 21872
## [24241] 22039 22206 22373 22540 22707 22874 23041 23208 23375 23539 23706 23873
## [24253] 24040 24207 24374 24541 24708 24875 25042 25209 25376 25543 25710 25877
## [24265] 26044 26211 26371 26538 26705 26872 27039 27206 27373 27540 27707 27874
## [24277] 28041 28208 28375 28542 28709 28876 29043 29210 29377   139   306   473
## [24289]   640   807   974  1141  1308  1475  1642  1809  1976  2143  2310  2477
## [24301]  2644  2811  2978  3145  3312  3479  3646  3813  3980  4147  4314  4481
## [24313]  4648  4815  4982  5149  5316  5483  5650  5817  5984  6151  6318  6485
## [24325]  6652  6819  6986  7153  7320  7487  7654  7821  7988  8155  8322  8489
## [24337]  8656  8823  8990  9157  9324  9491  9658  9825  9992 10159 10247 10414
## [24349] 10581 10748 10915 11082 11249 11416 11583 11749 11916 12083 12250 12417
## [24361] 12584 12751 12918 13085 13252 13419 13586 13753 13920 14087 14254 14421
## [24373] 14588 14755 14922 15089 15256 15423 15590 15757 15924 16091 16258 16425
## [24385] 16530 16697 16863 17030 17197 17364 17531 17698 17865 18032 18199 18366
## [24397] 18533 18700 18867 19034 19201 19368 19535 19702 19869 20036 20203 20370
## [24409] 20537 20704 20871 21038 21205 21372 21539 21706 21873 22040 22207 22374
## [24421] 22541 22708 22875 23042 23209 23376 23540 23707 23874 24041 24208 24375
## [24433] 24542 24709 24876 25043 25210 25377 25544 25711 25878 26045 26212 26372
## [24445] 26539 26706 26873 27040 27207 27374 27541 27708 27875 28042 28209 28376
## [24457] 28543 28710 28877 29044 29211 29378   140   307   474   641   808   975
## [24469]  1142  1309  1476  1643  1810  1977  2144  2311  2478  2645  2812  2979
## [24481]  3146  3313  3480  3647  3814  3981  4148  4315  4482  4649  4816  4983
## [24493]  5150  5317  5484  5651  5818  5985  6152  6319  6486  6653  6820  6987
## [24505]  7154  7321  7488  7655  7822  7989  8156  8323  8490  8657  8824  8991
## [24517]  9158  9325  9492  9659  9826  9993 10160 10248 10415 10582 10749 10916
## [24529] 11083 11250 11417 11584 11750 11917 12084 12251 12418 12585 12752 12919
## [24541] 13086 13253 13420 13587 13754 13921 14088 14255 14422 14589 14756 14923
## [24553] 15090 15257 15424 15591 15758 15925 16092 16259 16426 16531 16698 16864
## [24565] 17031 17198 17365 17532 17699 17866 18033 18200 18367 18534 18701 18868
## [24577] 19035 19202 19369 19536 19703 19870 20037 20204 20371 20538 20705 20872
## [24589] 21039 21206 21373 21540 21707 21874 22041 22208 22375 22542 22709 22876
## [24601] 23043 23210 23377 23541 23708 23875 24042 24209 24376 24543 24710 24877
## [24613] 25044 25211 25378 25545 25712 25879 26046 26213 26373 26540 26707 26874
## [24625] 27041 27208 27375 27542 27709 27876 28043 28210 28377 28544 28711 28878
## [24637] 29045 29212 29379   141   308   475   642   809   976  1143  1310  1477
## [24649]  1644  1811  1978  2145  2312  2479  2646  2813  2980  3147  3314  3481
## [24661]  3648  3815  3982  4149  4316  4483  4650  4817  4984  5151  5318  5485
## [24673]  5652  5819  5986  6153  6320  6487  6654  6821  6988  7155  7322  7489
## [24685]  7656  7823  7990  8157  8324  8491  8658  8825  8992  9159  9326  9493
## [24697]  9660  9827  9994 10161 10249 10416 10583 10750 10917 11084 11251 11418
## [24709] 11585 11751 11918 12085 12252 12419 12586 12753 12920 13087 13254 13421
## [24721] 13588 13755 13922 14089 14256 14423 14590 14757 14924 15091 15258 15425
## [24733] 15592 15759 15926 16093 16260 16427 16532 16699 16865 17032 17199 17366
## [24745] 17533 17700 17867 18034 18201 18368 18535 18702 18869 19036 19203 19370
## [24757] 19537 19704 19871 20038 20205 20372 20539 20706 20873 21040 21207 21374
## [24769] 21541 21708 21875 22042 22209 22376 22543 22710 22877 23044 23211 23378
## [24781] 23542 23709 23876 24043 24210 24377 24544 24711 24878 25045 25212 25379
## [24793] 25546 25713 25880 26047 26214 26374 26541 26708 26875 27042 27209 27376
## [24805] 27543 27710 27877 28044 28211 28378 28545 28712 28879 29046 29213 29380
## [24817]   142   309   476   643   810   977  1144  1311  1478  1645  1812  1979
## [24829]  2146  2313  2480  2647  2814  2981  3148  3315  3482  3649  3816  3983
## [24841]  4150  4317  4484  4651  4818  4985  5152  5319  5486  5653  5820  5987
## [24853]  6154  6321  6488  6655  6822  6989  7156  7323  7490  7657  7824  7991
## [24865]  8158  8325  8492  8659  8826  8993  9160  9327  9494  9661  9828  9995
## [24877] 10162 10250 10417 10584 10751 10918 11085 11252 11419 11586 11752 11919
## [24889] 12086 12253 12420 12587 12754 12921 13088 13255 13422 13589 13756 13923
## [24901] 14090 14257 14424 14591 14758 14925 15092 15259 15426 15593 15760 15927
## [24913] 16094 16261 16428 16533 16700 16866 17033 17200 17367 17534 17701 17868
## [24925] 18035 18202 18369 18536 18703 18870 19037 19204 19371 19538 19705 19872
## [24937] 20039 20206 20373 20540 20707 20874 21041 21208 21375 21542 21709 21876
## [24949] 22043 22210 22377 22544 22711 22878 23045 23212 23379 23543 23710 23877
## [24961] 24044 24211 24378 24545 24712 24879 25046 25213 25380 25547 25714 25881
## [24973] 26048 26215 26375 26542 26709 26876 27043 27210 27377 27544 27711 27878
## [24985] 28045 28212 28379 28546 28713 28880 29047 29214 29381   143   310   477
## [24997]   644   811   978  1145  1312  1479  1646  1813  1980  2147  2314  2481
## [25009]  2648  2815  2982  3149  3316  3483  3650  3817  3984  4151  4318  4485
## [25021]  4652  4819  4986  5153  5320  5487  5654  5821  5988  6155  6322  6489
## [25033]  6656  6823  6990  7157  7324  7491  7658  7825  7992  8159  8326  8493
## [25045]  8660  8827  8994  9161  9328  9495  9662  9829  9996 10163 10251 10418
## [25057] 10585 10752 10919 11086 11253 11420 11587 11753 11920 12087 12254 12421
## [25069] 12588 12755 12922 13089 13256 13423 13590 13757 13924 14091 14258 14425
## [25081] 14592 14759 14926 15093 15260 15427 15594 15761 15928 16095 16262 16429
## [25093] 16534 16701 16867 17034 17201 17368 17535 17702 17869 18036 18203 18370
## [25105] 18537 18704 18871 19038 19205 19372 19539 19706 19873 20040 20207 20374
## [25117] 20541 20708 20875 21042 21209 21376 21543 21710 21877 22044 22211 22378
## [25129] 22545 22712 22879 23046 23213 23380 23544 23711 23878 24045 24212 24379
## [25141] 24546 24713 24880 25047 25214 25381 25548 25715 25882 26049 26216 26376
## [25153] 26543 26710 26877 27044 27211 27378 27545 27712 27879 28046 28213 28380
## [25165] 28547 28714 28881 29048 29215 29382   144   311   478   645   812   979
## [25177]  1146  1313  1480  1647  1814  1981  2148  2315  2482  2649  2816  2983
## [25189]  3150  3317  3484  3651  3818  3985  4152  4319  4486  4653  4820  4987
## [25201]  5154  5321  5488  5655  5822  5989  6156  6323  6490  6657  6824  6991
## [25213]  7158  7325  7492  7659  7826  7993  8160  8327  8494  8661  8828  8995
## [25225]  9162  9329  9496  9663  9830  9997 10164 10252 10419 10586 10753 10920
## [25237] 11087 11254 11421 11588 11754 11921 12088 12255 12422 12589 12756 12923
## [25249] 13090 13257 13424 13591 13758 13925 14092 14259 14426 14593 14760 14927
## [25261] 15094 15261 15428 15595 15762 15929 16096 16263 16430 16535 16702 16868
## [25273] 17035 17202 17369 17536 17703 17870 18037 18204 18371 18538 18705 18872
## [25285] 19039 19206 19373 19540 19707 19874 20041 20208 20375 20542 20709 20876
## [25297] 21043 21210 21377 21544 21711 21878 22045 22212 22379 22546 22713 22880
## [25309] 23047 23214 23381 23545 23712 23879 24046 24213 24380 24547 24714 24881
## [25321] 25048 25215 25382 25549 25716 25883 26050 26217 26377 26544 26711 26878
## [25333] 27045 27212 27379 27546 27713 27880 28047 28214 28381 28548 28715 28882
## [25345] 29049 29216 29383   145   312   479   646   813   980  1147  1314  1481
## [25357]  1648  1815  1982  2149  2316  2483  2650  2817  2984  3151  3318  3485
## [25369]  3652  3819  3986  4153  4320  4487  4654  4821  4988  5155  5322  5489
## [25381]  5656  5823  5990  6157  6324  6491  6658  6825  6992  7159  7326  7493
## [25393]  7660  7827  7994  8161  8328  8495  8662  8829  8996  9163  9330  9497
## [25405]  9664  9831  9998 10165 10253 10420 10587 10754 10921 11088 11255 11422
## [25417] 11589 11755 11922 12089 12256 12423 12590 12757 12924 13091 13258 13425
## [25429] 13592 13759 13926 14093 14260 14427 14594 14761 14928 15095 15262 15429
## [25441] 15596 15763 15930 16097 16264 16431 16536 16703 16869 17036 17203 17370
## [25453] 17537 17704 17871 18038 18205 18372 18539 18706 18873 19040 19207 19374
## [25465] 19541 19708 19875 20042 20209 20376 20543 20710 20877 21044 21211 21378
## [25477] 21545 21712 21879 22046 22213 22380 22547 22714 22881 23048 23215 23382
## [25489] 23546 23713 23880 24047 24214 24381 24548 24715 24882 25049 25216 25383
## [25501] 25550 25717 25884 26051 26218 26378 26545 26712 26879 27046 27213 27380
## [25513] 27547 27714 27881 28048 28215 28382 28549 28716 28883 29050 29217 29384
## [25525]   146   313   480   647   814   981  1148  1315  1482  1649  1816  1983
## [25537]  2150  2317  2484  2651  2818  2985  3152  3319  3486  3653  3820  3987
## [25549]  4154  4321  4488  4655  4822  4989  5156  5323  5490  5657  5824  5991
## [25561]  6158  6325  6492  6659  6826  6993  7160  7327  7494  7661  7828  7995
## [25573]  8162  8329  8496  8663  8830  8997  9164  9331  9498  9665  9832  9999
## [25585] 10166 10254 10421 10588 10755 10922 11089 11256 11423 11590 11756 11923
## [25597] 12090 12257 12424 12591 12758 12925 13092 13259 13426 13593 13760 13927
## [25609] 14094 14261 14428 14595 14762 14929 15096 15263 15430 15597 15764 15931
## [25621] 16098 16265 16432 16537 16704 16870 17037 17204 17371 17538 17705 17872
## [25633] 18039 18206 18373 18540 18707 18874 19041 19208 19375 19542 19709 19876
## [25645] 20043 20210 20377 20544 20711 20878 21045 21212 21379 21546 21713 21880
## [25657] 22047 22214 22381 22548 22715 22882 23049 23216 23383 23547 23714 23881
## [25669] 24048 24215 24382 24549 24716 24883 25050 25217 25384 25551 25718 25885
## [25681] 26052 26219 26379 26546 26713 26880 27047 27214 27381 27548 27715 27882
## [25693] 28049 28216 28383 28550 28717 28884 29051 29218 29385   147   314   481
## [25705]   648   815   982  1149  1316  1483  1650  1817  1984  2151  2318  2485
## [25717]  2652  2819  2986  3153  3320  3487  3654  3821  3988  4155  4322  4489
## [25729]  4656  4823  4990  5157  5324  5491  5658  5825  5992  6159  6326  6493
## [25741]  6660  6827  6994  7161  7328  7495  7662  7829  7996  8163  8330  8497
## [25753]  8664  8831  8998  9165  9332  9499  9666  9833 10000 10167 10255 10422
## [25765] 10589 10756 10923 11090 11257 11424 11591 11757 11924 12091 12258 12425
## [25777] 12592 12759 12926 13093 13260 13427 13594 13761 13928 14095 14262 14429
## [25789] 14596 14763 14930 15097 15264 15431 15598 15765 15932 16099 16266 16433
## [25801] 16538 16705 16871 17038 17205 17372 17539 17706 17873 18040 18207 18374
## [25813] 18541 18708 18875 19042 19209 19376 19543 19710 19877 20044 20211 20378
## [25825] 20545 20712 20879 21046 21213 21380 21547 21714 21881 22048 22215 22382
## [25837] 22549 22716 22883 23050 23217 23384 23548 23715 23882 24049 24216 24383
## [25849] 24550 24717 24884 25051 25218 25385 25552 25719 25886 26053 26220 26380
## [25861] 26547 26714 26881 27048 27215 27382 27549 27716 27883 28050 28217 28384
## [25873] 28551 28718 28885 29052 29219 29386   148   315   482   649   816   983
## [25885]  1150  1317  1484  1651  1818  1985  2152  2319  2486  2653  2820  2987
## [25897]  3154  3321  3488  3655  3822  3989  4156  4323  4490  4657  4824  4991
## [25909]  5158  5325  5492  5659  5826  5993  6160  6327  6494  6661  6828  6995
## [25921]  7162  7329  7496  7663  7830  7997  8164  8331  8498  8665  8832  8999
## [25933]  9166  9333  9500  9667  9834 10001 10168 10256 10423 10590 10757 10924
## [25945] 11091 11258 11425 11592 11758 11925 12092 12259 12426 12593 12760 12927
## [25957] 13094 13261 13428 13595 13762 13929 14096 14263 14430 14597 14764 14931
## [25969] 15098 15265 15432 15599 15766 15933 16100 16267 16434 16539 16706 16872
## [25981] 17039 17206 17373 17540 17707 17874 18041 18208 18375 18542 18709 18876
## [25993] 19043 19210 19377 19544 19711 19878 20045 20212 20379 20546 20713 20880
## [26005] 21047 21214 21381 21548 21715 21882 22049 22216 22383 22550 22717 22884
## [26017] 23051 23218 23385 23549 23716 23883 24050 24217 24384 24551 24718 24885
## [26029] 25052 25219 25386 25553 25720 25887 26054 26221 26381 26548 26715 26882
## [26041] 27049 27216 27383 27550 27717 27884 28051 28218 28385 28552 28719 28886
## [26053] 29053 29220 29387   149   316   483   650   817   984  1151  1318  1485
## [26065]  1652  1819  1986  2153  2320  2487  2654  2821  2988  3155  3322  3489
## [26077]  3656  3823  3990  4157  4324  4491  4658  4825  4992  5159  5326  5493
## [26089]  5660  5827  5994  6161  6328  6495  6662  6829  6996  7163  7330  7497
## [26101]  7664  7831  7998  8165  8332  8499  8666  8833  9000  9167  9334  9501
## [26113]  9668  9835 10002 10169 10257 10424 10591 10758 10925 11092 11259 11426
## [26125] 11593 11759 11926 12093 12260 12427 12594 12761 12928 13095 13262 13429
## [26137] 13596 13763 13930 14097 14264 14431 14598 14765 14932 15099 15266 15433
## [26149] 15600 15767 15934 16101 16268 16435 16540 16707 16873 17040 17207 17374
## [26161] 17541 17708 17875 18042 18209 18376 18543 18710 18877 19044 19211 19378
## [26173] 19545 19712 19879 20046 20213 20380 20547 20714 20881 21048 21215 21382
## [26185] 21549 21716 21883 22050 22217 22384 22551 22718 22885 23052 23219 23386
## [26197] 23550 23717 23884 24051 24218 24385 24552 24719 24886 25053 25220 25387
## [26209] 25554 25721 25888 26055 26222 26382 26549 26716 26883 27050 27217 27384
## [26221] 27551 27718 27885 28052 28219 28386 28553 28720 28887 29054 29221 29388
## [26233]   150   317   484   651   818   985  1152  1319  1486  1653  1820  1987
## [26245]  2154  2321  2488  2655  2822  2989  3156  3323  3490  3657  3824  3991
## [26257]  4158  4325  4492  4659  4826  4993  5160  5327  5494  5661  5828  5995
## [26269]  6162  6329  6496  6663  6830  6997  7164  7331  7498  7665  7832  7999
## [26281]  8166  8333  8500  8667  8834  9001  9168  9335  9502  9669  9836 10003
## [26293] 10170 10258 10425 10592 10759 10926 11093 11260 11427 11594 11760 11927
## [26305] 12094 12261 12428 12595 12762 12929 13096 13263 13430 13597 13764 13931
## [26317] 14098 14265 14432 14599 14766 14933 15100 15267 15434 15601 15768 15935
## [26329] 16102 16269 16436 16541 16708 16874 17041 17208 17375 17542 17709 17876
## [26341] 18043 18210 18377 18544 18711 18878 19045 19212 19379 19546 19713 19880
## [26353] 20047 20214 20381 20548 20715 20882 21049 21216 21383 21550 21717 21884
## [26365] 22051 22218 22385 22552 22719 22886 23053 23220 23387 23551 23718 23885
## [26377] 24052 24219 24386 24553 24720 24887 25054 25221 25388 25555 25722 25889
## [26389] 26056 26223 26383 26550 26717 26884 27051 27218 27385 27552 27719 27886
## [26401] 28053 28220 28387 28554 28721 28888 29055 29222 29389   151   318   485
## [26413]   652   819   986  1153  1320  1487  1654  1821  1988  2155  2322  2489
## [26425]  2656  2823  2990  3157  3324  3491  3658  3825  3992  4159  4326  4493
## [26437]  4660  4827  4994  5161  5328  5495  5662  5829  5996  6163  6330  6497
## [26449]  6664  6831  6998  7165  7332  7499  7666  7833  8000  8167  8334  8501
## [26461]  8668  8835  9002  9169  9336  9503  9670  9837 10004 10171 10259 10426
## [26473] 10593 10760 10927 11094 11261 11428 11595 11761 11928 12095 12262 12429
## [26485] 12596 12763 12930 13097 13264 13431 13598 13765 13932 14099 14266 14433
## [26497] 14600 14767 14934 15101 15268 15435 15602 15769 15936 16103 16270 16437
## [26509] 16542 16709 16875 17042 17209 17376 17543 17710 17877 18044 18211 18378
## [26521] 18545 18712 18879 19046 19213 19380 19547 19714 19881 20048 20215 20382
## [26533] 20549 20716 20883 21050 21217 21384 21551 21718 21885 22052 22219 22386
## [26545] 22553 22720 22887 23054 23221 23388 23552 23719 23886 24053 24220 24387
## [26557] 24554 24721 24888 25055 25222 25389 25556 25723 25890 26057 26224 26384
## [26569] 26551 26718 26885 27052 27219 27386 27553 27720 27887 28054 28221 28388
## [26581] 28555 28722 28889 29056 29223 29390   152   319   486   653   820   987
## [26593]  1154  1321  1488  1655  1822  1989  2156  2323  2490  2657  2824  2991
## [26605]  3158  3325  3492  3659  3826  3993  4160  4327  4494  4661  4828  4995
## [26617]  5162  5329  5496  5663  5830  5997  6164  6331  6498  6665  6832  6999
## [26629]  7166  7333  7500  7667  7834  8001  8168  8335  8502  8669  8836  9003
## [26641]  9170  9337  9504  9671  9838 10005 10172 10260 10427 10594 10761 10928
## [26653] 11095 11262 11429 11596 11762 11929 12096 12263 12430 12597 12764 12931
## [26665] 13098 13265 13432 13599 13766 13933 14100 14267 14434 14601 14768 14935
## [26677] 15102 15269 15436 15603 15770 15937 16104 16271 16438 16543 16710 16876
## [26689] 17043 17210 17377 17544 17711 17878 18045 18212 18379 18546 18713 18880
## [26701] 19047 19214 19381 19548 19715 19882 20049 20216 20383 20550 20717 20884
## [26713] 21051 21218 21385 21552 21719 21886 22053 22220 22387 22554 22721 22888
## [26725] 23055 23222 23389 23553 23720 23887 24054 24221 24388 24555 24722 24889
## [26737] 25056 25223 25390 25557 25724 25891 26058 26225 26385 26552 26719 26886
## [26749] 27053 27220 27387 27554 27721 27888 28055 28222 28389 28556 28723 28890
## [26761] 29057 29224 29391   153   320   487   654   821   988  1155  1322  1489
## [26773]  1656  1823  1990  2157  2324  2491  2658  2825  2992  3159  3326  3493
## [26785]  3660  3827  3994  4161  4328  4495  4662  4829  4996  5163  5330  5497
## [26797]  5664  5831  5998  6165  6332  6499  6666  6833  7000  7167  7334  7501
## [26809]  7668  7835  8002  8169  8336  8503  8670  8837  9004  9171  9338  9505
## [26821]  9672  9839 10006 10173 10261 10428 10595 10762 10929 11096 11263 11430
## [26833] 11597 11763 11930 12097 12264 12431 12598 12765 12932 13099 13266 13433
## [26845] 13600 13767 13934 14101 14268 14435 14602 14769 14936 15103 15270 15437
## [26857] 15604 15771 15938 16105 16272 16439 16544 16711 16877 17044 17211 17378
## [26869] 17545 17712 17879 18046 18213 18380 18547 18714 18881 19048 19215 19382
## [26881] 19549 19716 19883 20050 20217 20384 20551 20718 20885 21052 21219 21386
## [26893] 21553 21720 21887 22054 22221 22388 22555 22722 22889 23056 23223 23390
## [26905] 23554 23721 23888 24055 24222 24389 24556 24723 24890 25057 25224 25391
## [26917] 25558 25725 25892 26059 26226 26386 26553 26720 26887 27054 27221 27388
## [26929] 27555 27722 27889 28056 28223 28390 28557 28724 28891 29058 29225 29392
## [26941]   154   321   488   655   822   989  1156  1323  1490  1657  1824  1991
## [26953]  2158  2325  2492  2659  2826  2993  3160  3327  3494  3661  3828  3995
## [26965]  4162  4329  4496  4663  4830  4997  5164  5331  5498  5665  5832  5999
## [26977]  6166  6333  6500  6667  6834  7001  7168  7335  7502  7669  7836  8003
## [26989]  8170  8337  8504  8671  8838  9005  9172  9339  9506  9673  9840 10007
## [27001] 10174 10262 10429 10596 10763 10930 11097 11264 11431 11598 11764 11931
## [27013] 12098 12265 12432 12599 12766 12933 13100 13267 13434 13601 13768 13935
## [27025] 14102 14269 14436 14603 14770 14937 15104 15271 15438 15605 15772 15939
## [27037] 16106 16273 16440 16545 16712 16878 17045 17212 17379 17546 17713 17880
## [27049] 18047 18214 18381 18548 18715 18882 19049 19216 19383 19550 19717 19884
## [27061] 20051 20218 20385 20552 20719 20886 21053 21220 21387 21554 21721 21888
## [27073] 22055 22222 22389 22556 22723 22890 23057 23224 23391 23555 23722 23889
## [27085] 24056 24223 24390 24557 24724 24891 25058 25225 25392 25559 25726 25893
## [27097] 26060 26227 26387 26554 26721 26888 27055 27222 27389 27556 27723 27890
## [27109] 28057 28224 28391 28558 28725 28892 29059 29226 29393   155   322   489
## [27121]   656   823   990  1157  1324  1491  1658  1825  1992  2159  2326  2493
## [27133]  2660  2827  2994  3161  3328  3495  3662  3829  3996  4163  4330  4497
## [27145]  4664  4831  4998  5165  5332  5499  5666  5833  6000  6167  6334  6501
## [27157]  6668  6835  7002  7169  7336  7503  7670  7837  8004  8171  8338  8505
## [27169]  8672  8839  9006  9173  9340  9507  9674  9841 10008 10175 10263 10430
## [27181] 10597 10764 10931 11098 11265 11432 11599 11765 11932 12099 12266 12433
## [27193] 12600 12767 12934 13101 13268 13435 13602 13769 13936 14103 14270 14437
## [27205] 14604 14771 14938 15105 15272 15439 15606 15773 15940 16107 16274 16441
## [27217] 16546 16713 16879 17046 17213 17380 17547 17714 17881 18048 18215 18382
## [27229] 18549 18716 18883 19050 19217 19384 19551 19718 19885 20052 20219 20386
## [27241] 20553 20720 20887 21054 21221 21388 21555 21722 21889 22056 22223 22390
## [27253] 22557 22724 22891 23058 23225 23392 23556 23723 23890 24057 24224 24391
## [27265] 24558 24725 24892 25059 25226 25393 25560 25727 25894 26061 26228 26388
## [27277] 26555 26722 26889 27056 27223 27390 27557 27724 27891 28058 28225 28392
## [27289] 28559 28726 28893 29060 29227 29394   156   323   490   657   824   991
## [27301]  1158  1325  1492  1659  1826  1993  2160  2327  2494  2661  2828  2995
## [27313]  3162  3329  3496  3663  3830  3997  4164  4331  4498  4665  4832  4999
## [27325]  5166  5333  5500  5667  5834  6001  6168  6335  6502  6669  6836  7003
## [27337]  7170  7337  7504  7671  7838  8005  8172  8339  8506  8673  8840  9007
## [27349]  9174  9341  9508  9675  9842 10009 10176 10264 10431 10598 10765 10932
## [27361] 11099 11266 11433 11600 11766 11933 12100 12267 12434 12601 12768 12935
## [27373] 13102 13269 13436 13603 13770 13937 14104 14271 14438 14605 14772 14939
## [27385] 15106 15273 15440 15607 15774 15941 16108 16275 16442 16547 16714 16880
## [27397] 17047 17214 17381 17548 17715 17882 18049 18216 18383 18550 18717 18884
## [27409] 19051 19218 19385 19552 19719 19886 20053 20220 20387 20554 20721 20888
## [27421] 21055 21222 21389 21556 21723 21890 22057 22224 22391 22558 22725 22892
## [27433] 23059 23226 23393 23557 23724 23891 24058 24225 24392 24559 24726 24893
## [27445] 25060 25227 25394 25561 25728 25895 26062 26229 26389 26556 26723 26890
## [27457] 27057 27224 27391 27558 27725 27892 28059 28226 28393 28560 28727 28894
## [27469] 29061 29228 29395   157   324   491   658   825   992  1159  1326  1493
## [27481]  1660  1827  1994  2161  2328  2495  2662  2829  2996  3163  3330  3497
## [27493]  3664  3831  3998  4165  4332  4499  4666  4833  5000  5167  5334  5501
## [27505]  5668  5835  6002  6169  6336  6503  6670  6837  7004  7171  7338  7505
## [27517]  7672  7839  8006  8173  8340  8507  8674  8841  9008  9175  9342  9509
## [27529]  9676  9843 10010 10177 10265 10432 10599 10766 10933 11100 11267 11434
## [27541] 11601 11767 11934 12101 12268 12435 12602 12769 12936 13103 13270 13437
## [27553] 13604 13771 13938 14105 14272 14439 14606 14773 14940 15107 15274 15441
## [27565] 15608 15775 15942 16109 16276 16443 16548 16715 16881 17048 17215 17382
## [27577] 17549 17716 17883 18050 18217 18384 18551 18718 18885 19052 19219 19386
## [27589] 19553 19720 19887 20054 20221 20388 20555 20722 20889 21056 21223 21390
## [27601] 21557 21724 21891 22058 22225 22392 22559 22726 22893 23060 23227 23394
## [27613] 23558 23725 23892 24059 24226 24393 24560 24727 24894 25061 25228 25395
## [27625] 25562 25729 25896 26063 26230 26390 26557 26724 26891 27058 27225 27392
## [27637] 27559 27726 27893 28060 28227 28394 28561 28728 28895 29062 29229 29396
## [27649]   158   325   492   659   826   993  1160  1327  1494  1661  1828  1995
## [27661]  2162  2329  2496  2663  2830  2997  3164  3331  3498  3665  3832  3999
## [27673]  4166  4333  4500  4667  4834  5001  5168  5335  5502  5669  5836  6003
## [27685]  6170  6337  6504  6671  6838  7005  7172  7339  7506  7673  7840  8007
## [27697]  8174  8341  8508  8675  8842  9009  9176  9343  9510  9677  9844 10011
## [27709] 10178 10266 10433 10600 10767 10934 11101 11268 11435 11602 11768 11935
## [27721] 12102 12269 12436 12603 12770 12937 13104 13271 13438 13605 13772 13939
## [27733] 14106 14273 14440 14607 14774 14941 15108 15275 15442 15609 15776 15943
## [27745] 16110 16277 16444 16549 16716 16882 17049 17216 17383 17550 17717 17884
## [27757] 18051 18218 18385 18552 18719 18886 19053 19220 19387 19554 19721 19888
## [27769] 20055 20222 20389 20556 20723 20890 21057 21224 21391 21558 21725 21892
## [27781] 22059 22226 22393 22560 22727 22894 23061 23228 23395 23559 23726 23893
## [27793] 24060 24227 24394 24561 24728 24895 25062 25229 25396 25563 25730 25897
## [27805] 26064 26231 26391 26558 26725 26892 27059 27226 27393 27560 27727 27894
## [27817] 28061 28228 28395 28562 28729 28896 29063 29230 29397   159   326   493
## [27829]   660   827   994  1161  1328  1495  1662  1829  1996  2163  2330  2497
## [27841]  2664  2831  2998  3165  3332  3499  3666  3833  4000  4167  4334  4501
## [27853]  4668  4835  5002  5169  5336  5503  5670  5837  6004  6171  6338  6505
## [27865]  6672  6839  7006  7173  7340  7507  7674  7841  8008  8175  8342  8509
## [27877]  8676  8843  9010  9177  9344  9511  9678  9845 10012 10179 10267 10434
## [27889] 10601 10768 10935 11102 11269 11436 11603 11769 11936 12103 12270 12437
## [27901] 12604 12771 12938 13105 13272 13439 13606 13773 13940 14107 14274 14441
## [27913] 14608 14775 14942 15109 15276 15443 15610 15777 15944 16111 16278 16445
## [27925] 16550 16717 16883 17050 17217 17384 17551 17718 17885 18052 18219 18386
## [27937] 18553 18720 18887 19054 19221 19388 19555 19722 19889 20056 20223 20390
## [27949] 20557 20724 20891 21058 21225 21392 21559 21726 21893 22060 22227 22394
## [27961] 22561 22728 22895 23062 23229 23396 23560 23727 23894 24061 24228 24395
## [27973] 24562 24729 24896 25063 25230 25397 25564 25731 25898 26065 26232 26392
## [27985] 26559 26726 26893 27060 27227 27394 27561 27728 27895 28062 28229 28396
## [27997] 28563 28730 28897 29064 29231 29398   160   327   494   661   828   995
## [28009]  1162  1329  1496  1663  1830  1997  2164  2331  2498  2665  2832  2999
## [28021]  3166  3333  3500  3667  3834  4001  4168  4335  4502  4669  4836  5003
## [28033]  5170  5337  5504  5671  5838  6005  6172  6339  6506  6673  6840  7007
## [28045]  7174  7341  7508  7675  7842  8009  8176  8343  8510  8677  8844  9011
## [28057]  9178  9345  9512  9679  9846 10013 10180 10268 10435 10602 10769 10936
## [28069] 11103 11270 11437 11604 11770 11937 12104 12271 12438 12605 12772 12939
## [28081] 13106 13273 13440 13607 13774 13941 14108 14275 14442 14609 14776 14943
## [28093] 15110 15277 15444 15611 15778 15945 16112 16279 16446 16551 16718 16884
## [28105] 17051 17218 17385 17552 17719 17886 18053 18220 18387 18554 18721 18888
## [28117] 19055 19222 19389 19556 19723 19890 20057 20224 20391 20558 20725 20892
## [28129] 21059 21226 21393 21560 21727 21894 22061 22228 22395 22562 22729 22896
## [28141] 23063 23230 23397 23561 23728 23895 24062 24229 24396 24563 24730 24897
## [28153] 25064 25231 25398 25565 25732 25899 26066 26233 26393 26560 26727 26894
## [28165] 27061 27228 27395 27562 27729 27896 28063 28230 28397 28564 28731 28898
## [28177] 29065 29232 29399   161   328   495   662   829   996  1163  1330  1497
## [28189]  1664  1831  1998  2165  2332  2499  2666  2833  3000  3167  3334  3501
## [28201]  3668  3835  4002  4169  4336  4503  4670  4837  5004  5171  5338  5505
## [28213]  5672  5839  6006  6173  6340  6507  6674  6841  7008  7175  7342  7509
## [28225]  7676  7843  8010  8177  8344  8511  8678  8845  9012  9179  9346  9513
## [28237]  9680  9847 10014 10181 10269 10436 10603 10770 10937 11104 11271 11438
## [28249] 11605 11771 11938 12105 12272 12439 12606 12773 12940 13107 13274 13441
## [28261] 13608 13775 13942 14109 14276 14443 14610 14777 14944 15111 15278 15445
## [28273] 15612 15779 15946 16113 16280 16447 16552 16719 16885 17052 17219 17386
## [28285] 17553 17720 17887 18054 18221 18388 18555 18722 18889 19056 19223 19390
## [28297] 19557 19724 19891 20058 20225 20392 20559 20726 20893 21060 21227 21394
## [28309] 21561 21728 21895 22062 22229 22396 22563 22730 22897 23064 23231 23398
## [28321] 23562 23729 23896 24063 24230 24397 24564 24731 24898 25065 25232 25399
## [28333] 25566 25733 25900 26067 26394 26561 26728 26895 27062 27229 27396 27563
## [28345] 27730 27897 28064 28231 28398 28565 28732 28899 29066 29233 29400   162
## [28357]   329   496   663   830   997  1164  1331  1498  1665  1832  1999  2166
## [28369]  2333  2500  2667  2834  3001  3168  3335  3502  3669  3836  4003  4170
## [28381]  4337  4504  4671  4838  5005  5172  5339  5506  5673  5840  6007  6174
## [28393]  6341  6508  6675  6842  7009  7176  7343  7510  7677  7844  8011  8178
## [28405]  8345  8512  8679  8846  9013  9180  9347  9514  9681  9848 10015 10182
## [28417] 10270 10437 10604 10771 10938 11105 11272 11439 11606 11772 11939 12106
## [28429] 12273 12440 12607 12774 12941 13108 13275 13442 13609 13776 13943 14110
## [28441] 14277 14444 14611 14778 14945 15112 15279 15446 15613 15780 15947 16114
## [28453] 16281 16448 16553 16720 16886 17053 17220 17387 17554 17721 17888 18055
## [28465] 18222 18389 18556 18723 18890 19057 19224 19391 19558 19725 19892 20059
## [28477] 20226 20393 20560 20727 20894 21061 21228 21395 21562 21729 21896 22063
## [28489] 22230 22397 22564 22731 22898 23065 23232 23399 23563 23730 23897 24064
## [28501] 24231 24398 24565 24732 24899 25066 25233 25400 25567 25734 25901 26068
## [28513] 26395 26562 26729 26896 27063 27230 27397 27564 27731 27898 28065 28232
## [28525] 28399 28566 28733 28900 29067 29234 29401   163   330   497   664   831
## [28537]   998  1165  1332  1499  1666  1833  2000  2167  2334  2501  2668  2835
## [28549]  3002  3169  3336  3503  3670  3837  4004  4171  4338  4505  4672  4839
## [28561]  5006  5173  5340  5507  5674  5841  6008  6175  6342  6509  6676  6843
## [28573]  7010  7177  7344  7511  7678  7845  8012  8179  8346  8513  8680  8847
## [28585]  9014  9181  9348  9515  9682  9849 10016 10183 10271 10438 10605 10772
## [28597] 10939 11106 11273 11440 11607 11773 11940 12107 12274 12441 12608 12775
## [28609] 12942 13109 13276 13443 13610 13777 13944 14111 14278 14445 14612 14779
## [28621] 14946 15113 15280 15447 15614 15781 15948 16115 16282 16449 16554 16721
## [28633] 16887 17054 17221 17388 17555 17722 17889 18056 18223 18390 18557 18724
## [28645] 18891 19058 19225 19392 19559 19726 19893 20060 20227 20394 20561 20728
## [28657] 20895 21062 21229 21396 21563 21730 21897 22064 22231 22398 22565 22732
## [28669] 22899 23066 23233 23400 23564 23731 23898 24065 24232 24399 24566 24733
## [28681] 24900 25067 25234 25401 25568 25735 25902 26069 26396 26563 26730 26897
## [28693] 27064 27231 27398 27565 27732 27899 28066 28233 28400 28567 28734 28901
## [28705] 29068 29235 29402   164   331   498   665   832   999  1166  1333  1500
## [28717]  1667  1834  2001  2168  2335  2502  2669  2836  3003  3170  3337  3504
## [28729]  3671  3838  4005  4172  4339  4506  4673  4840  5007  5174  5341  5508
## [28741]  5675  5842  6009  6176  6343  6510  6677  6844  7011  7178  7345  7512
## [28753]  7679  7846  8013  8180  8347  8514  8681  8848  9015  9182  9349  9516
## [28765]  9683  9850 10017 10184 10272 10439 10606 10773 10940 11107 11274 11441
## [28777] 11608 11774 11941 12108 12275 12442 12609 12776 12943 13110 13277 13444
## [28789] 13611 13778 13945 14112 14279 14446 14613 14780 14947 15114 15281 15448
## [28801] 15615 15782 15949 16116 16283 16450 16555 16722 16888 17055 17222 17389
## [28813] 17556 17723 17890 18057 18224 18391 18558 18725 18892 19059 19226 19393
## [28825] 19560 19727 19894 20061 20228 20395 20562 20729 20896 21063 21230 21397
## [28837] 21564 21731 21898 22065 22232 22399 22566 22733 22900 23067 23234 23401
## [28849] 23565 23732 23899 24066 24233 24400 24567 24734 24901 25068 25235 25402
## [28861] 25569 25736 25903 26070 26397 26564 26731 26898 27065 27232 27399 27566
## [28873] 27733 27900 28067 28234 28401 28568 28735 28902 29069 29236 29403   165
## [28885]   332   499   666   833  1000  1167  1334  1501  1668  1835  2002  2169
## [28897]  2336  2503  2670  2837  3004  3171  3338  3505  3672  3839  4006  4173
## [28909]  4340  4507  4674  4841  5008  5175  5342  5509  5676  5843  6010  6177
## [28921]  6344  6511  6678  6845  7012  7179  7346  7513  7680  7847  8014  8181
## [28933]  8348  8515  8682  8849  9016  9183  9350  9517  9684  9851 10018 10185
## [28945] 10273 10440 10607 10774 10941 11108 11275 11442 11609 11775 11942 12109
## [28957] 12276 12443 12610 12777 12944 13111 13278 13445 13612 13779 13946 14113
## [28969] 14280 14447 14614 14781 14948 15115 15282 15449 15616 15783 15950 16117
## [28981] 16284 16451 16556 16723 16889 17056 17223 17390 17557 17724 17891 18058
## [28993] 18225 18392 18559 18726 18893 19060 19227 19394 19561 19728 19895 20062
## [29005] 20229 20396 20563 20730 20897 21064 21231 21398 21565 21732 21899 22066
## [29017] 22233 22400 22567 22734 22901 23068 23235 23566 23733 23900 24067 24234
## [29029] 24401 24568 24735 24902 25069 25236 25403 25570 25737 25904 26071 26398
## [29041] 26565 26732 26899 27066 27233 27400 27567 27734 27901 28068 28235 28402
## [29053] 28569 28736 28903 29070 29237 29404   166   333   500   667   834  1001
## [29065]  1168  1335  1502  1669  1836  2003  2170  2337  2504  2671  2838  3005
## [29077]  3172  3339  3506  3673  3840  4007  4174  4341  4508  4675  4842  5009
## [29089]  5176  5343  5510  5677  5844  6011  6178  6345  6512  6679  6846  7013
## [29101]  7180  7347  7514  7681  7848  8015  8182  8349  8516  8683  8850  9017
## [29113]  9184  9351  9518  9685  9852 10019 10186 10274 10441 10608 10775 10942
## [29125] 11109 11276 11443 11610 11776 11943 12110 12277 12444 12611 12778 12945
## [29137] 13112 13279 13446 13613 13780 13947 14114 14281 14448 14615 14782 14949
## [29149] 15116 15283 15450 15617 15784 15951 16118 16285 16452 16557 16724 16890
## [29161] 17057 17224 17391 17558 17725 17892 18059 18226 18393 18560 18727 18894
## [29173] 19061 19228 19395 19562 19729 19896 20063 20230 20397 20564 20731 20898
## [29185] 21065 21232 21399 21566 21733 21900 22067 22234 22401 22568 22735 22902
## [29197] 23069 23236 23567 23734 23901 24068 24235 24402 24569 24736 24903 25070
## [29209] 25237 25404 25571 25738 25905 26072 26399 26566 26733 26900 27067 27234
## [29221] 27401 27568 27735 27902 28069 28236 28403 28570 28737 28904 29071 29238
## [29233] 29405   167   334   501   668   835  1002  1169  1336  1503  1670  1837
## [29245]  2004  2171  2338  2505  2672  2839  3006  3173  3340  3507  3674  3841
## [29257]  4008  4175  4342  4509  4676  4843  5010  5177  5344  5511  5678  5845
## [29269]  6012  6179  6346  6513  6680  6847  7014  7181  7348  7515  7682  7849
## [29281]  8016  8183  8350  8517  8684  8851  9018  9185  9352  9519  9686  9853
## [29293] 10020 10187 10275 10442 10609 10776 10943 11110 11277 11444 11777 11944
## [29305] 12111 12278 12445 12612 12779 12946 13113 13280 13447 13614 13781 13948
## [29317] 14115 14282 14449 14616 14783 14950 15117 15284 15451 15618 15785 15952
## [29329] 16119 16286 16453 16558 16891 17058 17225 17392 17559 17726 17893 18060
## [29341] 18227 18394 18561 18728 18895 19062 19229 19396 19563 19730 19897 20064
## [29353] 20231 20398 20565 20732 20899 21066 21233 21400 21567 21734 21901 22068
## [29365] 22235 22402 22569 22736 22903 23070 23237 23568 23735 23902 24069 24236
## [29377] 24403 24570 24737 24904 25071 25238 25405 25572 25739 25906 26073 26400
## [29389] 26567 26734 26901 27068 27235 27402 27569 27736 27903 28070 28237 28404
## [29401] 28571 28738 28905 29072 29239

# Then, I correct country and variable names.

Government_Responses$COUNTRY <- Government_Responses$CountryName
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Cape Verde", "Cabo Verde", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Congo", "Congo (Brazzaville)", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Democratic Republic of Congo", "Congo (Kinshasa)", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Myanmar", "Burma", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Czech Republic", "Czechia", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Swaziland", "Eswatini", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Krygz Republic", "Kyrgyzstan", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "South Korea", "Korea, South", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Macedonia", "North Macedonia", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Slovak Republic", "Slovakia", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Macedonia", "North Macedonia", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Taiwan", "Taiwan*", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Timor", "Timor-Leste", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "United States", "US", Government_Responses$COUNTRY)

Government_Responses <- Government_Responses[order(Government_Responses$CountryName, Government_Responses$Date),]

colnames(Government_Responses)

##  [1] "CountryName"                          
##  [2] "CountryCode"                          
##  [3] "Date"                                 
##  [4] "C1_School closing"                    
##  [5] "C1_Flag"                              
##  [6] "C2_Workplace closing"                 
##  [7] "C2_Flag"                              
##  [8] "C3_Cancel public events"              
##  [9] "C3_Flag"                              
## [10] "C4_Restrictions on gatherings"        
## [11] "C4_Flag"                              
## [12] "C5_Close public transport"            
## [13] "C5_Flag"                              
## [14] "C6_Stay at home requirements"         
## [15] "C6_Flag"                              
## [16] "C7_Restrictions on internal movement" 
## [17] "C7_Flag"                              
## [18] "C8_International travel controls"     
## [19] "E1_Income support"                    
## [20] "E1_Flag"                              
## [21] "E2_Debt/contract relief"              
## [22] "E3_Fiscal measures"                   
## [23] "E4_International support"             
## [24] "H1_Public information campaigns"      
## [25] "H1_Flag"                              
## [26] "H2_Testing policy"                    
## [27] "H3_Contact tracing"                   
## [28] "H4_Emergency investment in healthcare"
## [29] "H5_Investment in vaccines"            
## [30] "M1_Wildcard"                          
## [31] "ConfirmedCases"                       
## [32] "ConfirmedDeaths"                      
## [33] "StringencyIndex"                      
## [34] "StringencyIndexForDisplay"            
## [35] "StringencyLegacyIndex"                
## [36] "StringencyLegacyIndexForDisplay"      
## [37] "GovernmentResponseIndex"              
## [38] "GovernmentResponseIndexForDisplay"    
## [39] "ContainmentHealthIndex"               
## [40] "ContainmentHealthIndexForDisplay"     
## [41] "EconomicSupportIndex"                 
## [42] "EconomicSupportIndexForDisplay"       
## [43] "COUNTRY"

Government_Responses$C1_School.closing <- Government_Responses$`C1_School closing`
Government_Responses$C2_Workplace.closing <- Government_Responses$`C2_Workplace closing`
Government_Responses$C3_Cancel.public.events <- Government_Responses$`C3_Cancel public events`
Government_Responses$C4_Restrictions.on.gatherings <- Government_Responses$`C4_Restrictions on gatherings`
Government_Responses$C5_Close.public.transport <- Government_Responses$`C5_Close public transport`
Government_Responses$C6_Stay.at.home.requirements <- Government_Responses$`C6_Stay at home requirements`
Government_Responses$C7_Restrictions.on.internal.movement <- Government_Responses$`C7_Restrictions on internal movement`
Government_Responses$C8_International.travel.controls <- Government_Responses$`C8_International travel controls`
Government_Responses$E1_Income.support <- Government_Responses$`E1_Income support`
Government_Responses$E2_Debt.contract.relief <- Government_Responses$`E2_Debt/contract relief`
Government_Responses$E3_Fiscal.measures <- Government_Responses$`E3_Fiscal measures`
Government_Responses$E4_International.support <- Government_Responses$`E4_International support`
Government_Responses$H1_Public.information.campaigns <- Government_Responses$`H1_Public information campaigns`
Government_Responses$H2_Testing.policy <- Government_Responses$`H2_Testing policy`
Government_Responses$H3_Contact.tracing <- Government_Responses$`H3_Contact tracing`
Government_Responses$H4_Emergency.investment.in.healthcare <- Government_Responses$`H4_Emergency investment in healthcare`
Government_Responses$H5_Investment.in.vaccines <- Government_Responses$`H5_Investment in vaccines`

# I now subset the data. PLEASE NOTE the observations change in this merge. Oxford began collecting data before Hopkins started tracking cases and deaths. For simplicity, I use the merged data from before to visualize the confirmed cases and deaths (as these dates are filtered correctly).
Government_Responses <- subset(Government_Responses, is.element(Government_Responses$COUNTRY, Temporary_Data_Country$COUNTRY))

# Note that we have two sets of variables for confirmed cases and deaths. The first, I label "Oxford_Cases" and "Oxford_Deaths". The second (from John Hopkins) I label "Total_Cases_Country" and "Total_Deceased_Country". At a later date, we might want to cross-reference these values. Note that Oxford does not provide calculations for province/state; however it is highly likely they used the (same) John Hopkins data.
Government_Responses$Oxford_Cases <- Government_Responses$ConfirmedCases
Government_Responses$Oxford_Deaths <- Government_Responses$ConfirmedDeaths

# Once more, I only keep the variables we are interested in. I elect not to keep the notes... these can be re-added if preferred. E4_International.support also has almost no values above 0, so it is dropped. 

colnames(Government_Responses)

##  [1] "CountryName"                          
##  [2] "CountryCode"                          
##  [3] "Date"                                 
##  [4] "C1_School closing"                    
##  [5] "C1_Flag"                              
##  [6] "C2_Workplace closing"                 
##  [7] "C2_Flag"                              
##  [8] "C3_Cancel public events"              
##  [9] "C3_Flag"                              
## [10] "C4_Restrictions on gatherings"        
## [11] "C4_Flag"                              
## [12] "C5_Close public transport"            
## [13] "C5_Flag"                              
## [14] "C6_Stay at home requirements"         
## [15] "C6_Flag"                              
## [16] "C7_Restrictions on internal movement" 
## [17] "C7_Flag"                              
## [18] "C8_International travel controls"     
## [19] "E1_Income support"                    
## [20] "E1_Flag"                              
## [21] "E2_Debt/contract relief"              
## [22] "E3_Fiscal measures"                   
## [23] "E4_International support"             
## [24] "H1_Public information campaigns"      
## [25] "H1_Flag"                              
## [26] "H2_Testing policy"                    
## [27] "H3_Contact tracing"                   
## [28] "H4_Emergency investment in healthcare"
## [29] "H5_Investment in vaccines"            
## [30] "M1_Wildcard"                          
## [31] "ConfirmedCases"                       
## [32] "ConfirmedDeaths"                      
## [33] "StringencyIndex"                      
## [34] "StringencyIndexForDisplay"            
## [35] "StringencyLegacyIndex"                
## [36] "StringencyLegacyIndexForDisplay"      
## [37] "GovernmentResponseIndex"              
## [38] "GovernmentResponseIndexForDisplay"    
## [39] "ContainmentHealthIndex"               
## [40] "ContainmentHealthIndexForDisplay"     
## [41] "EconomicSupportIndex"                 
## [42] "EconomicSupportIndexForDisplay"       
## [43] "COUNTRY"                              
## [44] "C1_School.closing"                    
## [45] "C2_Workplace.closing"                 
## [46] "C3_Cancel.public.events"              
## [47] "C4_Restrictions.on.gatherings"        
## [48] "C5_Close.public.transport"            
## [49] "C6_Stay.at.home.requirements"         
## [50] "C7_Restrictions.on.internal.movement" 
## [51] "C8_International.travel.controls"     
## [52] "E1_Income.support"                    
## [53] "E2_Debt.contract.relief"              
## [54] "E3_Fiscal.measures"                   
## [55] "E4_International.support"             
## [56] "H1_Public.information.campaigns"      
## [57] "H2_Testing.policy"                    
## [58] "H3_Contact.tracing"                   
## [59] "H4_Emergency.investment.in.healthcare"
## [60] "H5_Investment.in.vaccines"            
## [61] "Oxford_Cases"                         
## [62] "Oxford_Deaths"

myvarsgovernment <- c("COUNTRY", "Date", "C1_School.closing", "C1_Flag", "C2_Workplace.closing", "C2_Flag", "C3_Cancel.public.events", "C3_Flag", "C4_Restrictions.on.gatherings", "C4_Flag", "C5_Close.public.transport", "C5_Flag", "C6_Stay.at.home.requirements", "C6_Flag", "C7_Restrictions.on.internal.movement", "C7_Flag", "C8_International.travel.controls", "E1_Income.support", "E1_Flag", "E2_Debt.contract.relief", "E3_Fiscal.measures", "H1_Public.information.campaigns", "H1_Flag", "H2_Testing.policy", "H3_Contact.tracing", "H4_Emergency.investment.in.healthcare", "H5_Investment.in.vaccines", "M1_Wildcard", "StringencyIndex", "Oxford_Cases", "Oxford_Deaths", "GovernmentResponseIndex", "ContainmentHealthIndex")

Government_Responses <- Government_Responses[myvarsgovernment]

Government_Responses <- Government_Responses[order(Government_Responses$COUNTRY, Government_Responses$Date),]

Temporary_Data_Country <- Temporary_Data_Country[order(Temporary_Data_Country$COUNTRY, Temporary_Data_Country$Date),]

# I then merge our data.
Final_Data_Country <- merge(Temporary_Data_Country, Government_Responses, by = c("COUNTRY", "Date"), all=TRUE)

# Next, I specify a set of lagged government response variables for use in our regression later (one-week, two-week, and three-week lags). First, I filter the data and create a lag function for each week (these functions are also used for generating the lags in our testing data).

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

# This chunk of code is quite extensive. In our regressions, we use the "lag" function to generate lags for our key variables, rather than using the generated lagged variables below. I simply include them in order to visualize the dataframe with lags incorporated (as the lag function will simply lag existing variables in analysis; not generate new ones to explore). Using this function also allows us to observe which nations do not have enough observations to generate specified lags.

# One Week
Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C1_School.closing", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_School_Closing_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes

Final_Data_Country$Lagged_School_Closing_One_Week <- as.factor(Final_Data_Country$Lagged_School_Closing_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C1_Flag", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_School_Closing_General_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_School_Closing_General_One_Week <- as.factor(Final_Data_Country$Lagged_School_Closing_General_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C2_Workplace.closing", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Workplace_Closing_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Workplace_Closing_One_Week <- as.factor(Final_Data_Country$Lagged_Workplace_Closing_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C2_Flag", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Workplace_Closing_General_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Workplace_Closing_General_One_Week <- as.factor(Final_Data_Country$Lagged_Workplace_Closing_General_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C3_Cancel.public.events", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Events_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Public_Events_One_Week <- as.factor(Final_Data_Country$Lagged_Public_Events_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C3_Flag", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Events_General_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Public_Events_General_One_Week <- as.factor(Final_Data_Country$Lagged_Public_Events_General_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C4_Restrictions.on.gatherings", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Gatherings_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Gatherings_One_Week <- as.factor(Final_Data_Country$Lagged_Gatherings_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C4_Flag", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Gatherings_General_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Gatherings_General_One_Week <- as.factor(Final_Data_Country$Lagged_Gatherings_General_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C5_Close.public.transport", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Transport_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Public_Transport_One_Week <- as.factor(Final_Data_Country$Lagged_Public_Transport_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C5_Flag", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Transport_General_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Public_Transport_General_One_Week <- as.factor(Final_Data_Country$Lagged_Public_Transport_General_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C6_Stay.at.home.requirements", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Lockdown_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Lockdown_One_Week <- as.factor(Final_Data_Country$Lagged_Lockdown_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C6_Flag", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Lockdown_General_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Lockdown_General_One_Week <- as.factor(Final_Data_Country$Lagged_Lockdown_General_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C7_Restrictions.on.internal.movement", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Internal_Movement_One_Week", keepInvalid =   
  TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Internal_Movement_One_Week <- as.factor(Final_Data_Country$Lagged_Internal_Movement_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C7_Flag",slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Internal_Movement_General_One_Week", keepInvalid = TRUE, reminder =  FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Internal_Movement_General_One_Week <- as.factor(Final_Data_Country$Lagged_Internal_Movement_General_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C8_International.travel.controls", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_International_Travel_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_International_Travel_One_Week <- as.factor(Final_Data_Country$Lagged_International_Travel_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "E1_Income.support", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Income_Support_One_Week", keepInvalid =   
  TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Income_Support_One_Week <- as.factor(Final_Data_Country$Lagged_Income_Support_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "E1_Flag",slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Income_Support_General_One_Week", keepInvalid = TRUE, reminder =  FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Income_Support_General_One_Week <- as.factor(Final_Data_Country$Lagged_Income_Support_General_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "E2_Debt.contract.relief", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Debt_Relief_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Debt_Relief_One_Week <- as.factor(Final_Data_Country$Lagged_Debt_Relief_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "E3_Fiscal.measures", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Fiscal_Measures_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H1_Public.information.campaigns", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Campaign_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Campaign_One_Week <- as.factor(Final_Data_Country$Lagged_Campaign_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H1_Flag", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Campaign_General_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Campaign_General_One_Week <- as.factor(Final_Data_Country$Lagged_Campaign_General_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H2_Testing.policy", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Testing_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Testing_One_Week <- as.factor(Final_Data_Country$Lagged_Testing_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H3_Contact.tracing", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Tracing_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Tracing_One_Week <- as.factor(Final_Data_Country$Lagged_Tracing_One_Week)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H4_Emergency.investment.in.healthcare", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Health_Care_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H5_Investment.in.vaccines", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Health_Care_One_Week", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "StringencyIndex", TimeVar = "Date", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Stringency_Index_One_Week", keepInvalid 
  = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 6 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

# Two Weeks
Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C1_School.closing", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_School_Closing_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_School_Closing_Two_Weeks <- as.factor(Final_Data_Country$Lagged_School_Closing_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C1_Flag", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_School_Closing_General_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_School_Closing_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_School_Closing_General_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C2_Workplace.closing", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Workplace_Closing_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Workplace_Closing_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Workplace_Closing_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C2_Flag", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Workplace_Closing_General_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Workplace_Closing_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Workplace_Closing_General_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C3_Cancel.public.events", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Events_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Public_Events_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Public_Events_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C3_Flag", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Events_General_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Public_Events_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Public_Events_General_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C4_Restrictions.on.gatherings", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Gatherings_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Gatherings_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Gatherings_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C4_Flag", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Gatherings_General_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Gatherings_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Gatherings_General_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C5_Close.public.transport", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Transport_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Public_Transport_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Public_Transport_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C5_Flag", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Transport_General_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Public_Transport_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Public_Transport_General_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C6_Stay.at.home.requirements", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Lockdown_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Lockdown_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Lockdown_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C6_Flag", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Lockdown_General_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Lockdown_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Lockdown_General_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C7_Restrictions.on.internal.movement", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Internal_Movement_Two_Weeks", keepInvalid =   
  TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Internal_Movement_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Internal_Movement_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C7_Flag",slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Internal_Movement_General_Two_Weeks", keepInvalid = TRUE, reminder =  FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Internal_Movement_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Internal_Movement_General_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C8_International.travel.controls", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_International_Travel_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_International_Travel_Two_Weeks <- as.factor(Final_Data_Country$Lagged_International_Travel_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "E1_Income.support", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Income_Support_Two_Weeks", keepInvalid =   
  TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Income_Support_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Income_Support_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "E1_Flag",slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Income_Support_General_Two_Weeks", keepInvalid = TRUE, reminder =  FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Income_Support_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Income_Support_General_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "E2_Debt.contract.relief", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Debt_Relief_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Debt_Relief_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Debt_Relief_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "E3_Fiscal.measures", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Fiscal_Measures_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H1_Public.information.campaigns", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Campaign_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Campaign_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Campaign_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H1_Flag", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Campaign_General_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Campaign_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Campaign_General_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H2_Testing.policy", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Testing_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Testing_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Testing_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H3_Contact.tracing", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Tracing_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Tracing_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Tracing_Two_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H4_Emergency.investment.in.healthcare", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Health_Care_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H5_Investment.in.vaccines", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Health_Care_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "StringencyIndex", TimeVar = "Date", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Stringency_Index_Two_Weeks", keepInvalid 
  = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 13 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

# Three Weeks
Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C1_School.closing", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_School_Closing_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_School_Closing_Three_Weeks <- as.factor(Final_Data_Country$Lagged_School_Closing_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C1_Flag", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_School_Closing_General_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_School_Closing_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_School_Closing_General_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C2_Workplace.closing", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Workplace_Closing_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Workplace_Closing_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Workplace_Closing_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C2_Flag", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Workplace_Closing_General_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Workplace_Closing_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Workplace_Closing_General_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C3_Cancel.public.events", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Events_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Public_Events_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Public_Events_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C3_Flag", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Events_General_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Public_Events_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Public_Events_General_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C4_Restrictions.on.gatherings", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Gatherings_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Gatherings_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Gatherings_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C4_Flag", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Gatherings_General_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Gatherings_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Gatherings_General_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C5_Close.public.transport", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Transport_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Public_Transport_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Public_Transport_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C5_Flag", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Transport_General_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Public_Transport_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Public_Transport_General_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C6_Stay.at.home.requirements", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Lockdown_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Lockdown_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Lockdown_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C6_Flag", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Lockdown_General_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Lockdown_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Lockdown_General_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C7_Restrictions.on.internal.movement", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Internal_Movement_Three_Weeks", keepInvalid =   
  TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Internal_Movement_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Internal_Movement_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C7_Flag",slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Internal_Movement_General_Three_Weeks", keepInvalid = TRUE, reminder =  FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Internal_Movement_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Internal_Movement_General_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "C8_International.travel.controls", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_International_Travel_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_International_Travel_Three_Weeks <- as.factor(Final_Data_Country$Lagged_International_Travel_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "E1_Income.support", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Income_Support_Three_Weeks", keepInvalid =   
  TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Income_Support_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Income_Support_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "E1_Flag",slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Income_Support_General_Three_Weeks", keepInvalid = TRUE, reminder =  FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Income_Support_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Income_Support_General_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "E2_Debt.contract.relief", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Debt_Relief_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Debt_Relief_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Debt_Relief_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "E3_Fiscal.measures", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Fiscal_Measures_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H1_Public.information.campaigns", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Campaign_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Campaign_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Campaign_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H1_Flag", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Campaign_General_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Campaign_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Campaign_General_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H2_Testing.policy", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Testing_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Testing_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Testing_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H3_Contact.tracing", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Tracing_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country$Lagged_Tracing_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Tracing_Three_Weeks)

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H4_Emergency.investment.in.healthcare", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Health_Care_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "H5_Investment.in.vaccines", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Health_Care_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Final_Data_Country <- Final_Data_Country %>%
  dplyr::group_by(COUNTRY) %>%
  slide(Var = "StringencyIndex", TimeVar = "Date", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Stringency_Index_Three_Weeks", keepInvalid 
  = TRUE, reminder = FALSE)

## Converting to plain data frame from tbl_df.

## 
## Warning: the following groups have 20 or fewer observations.
##   No valid lag/lead can be created.
##   NA will be returned for these observations in the new lag/lead variable.
##   They will be returned at the bottom of the data frame.

## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara

## 

Here, I add coordinates for each nation in the dataset.

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

# I am using the same Google coordinate data from: https://developers.google.com/public-data/docs/canonical/countries_csv. Note that I edited country names to match the data in the CSV itself (I only kept coordinates for nations in our dataframe). 
Country_Coordinates <- read.csv("data/Country_Coordinates.csv")

Country_Coordinates$COUNTRY <- Country_Coordinates$Country

colnames(Country_Coordinates)

## [1] "Latitude"  "Longitude" "Country"   "COUNTRY"

myvarscoords <- c("COUNTRY", "Latitude", "Longitude")
Country_Coordinates <- Country_Coordinates[myvarscoords]

# I subset the file to only include the nations in our final data.
Country_Coordinates <- subset(Country_Coordinates, is.element(Country_Coordinates$COUNTRY, Final_Data_Country$COUNTRY))

# Lastly, I merge the two dataframes.
Final_Data_Country <- merge(Final_Data_Country, Country_Coordinates, by = c("COUNTRY"), all=TRUE)

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

Now, I add socioeconomic controls from the World Development Indicators.

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

# First, I add the proportion of the national population above 65 from: https://data.worldbank.org/indicator/SP.POP.65UP.TO.ZS. 
pop65yo <- read_csv("data/pop65yo.csv")

## Parsed with column specification:
## cols(
##   value = col_double(),
##   country = col_character()
## )

pop65yo$COUNTRY <- pop65yo$country
pop65yo$prop65 <- pop65yo$value

# Next, I correct the country names.
pop65yo[19, "COUNTRY"] <- "Bahamas"
pop65yo[26, "COUNTRY"] <- "Brunei"
pop65yo[37, "COUNTRY"] <- "Congo (Kinshasa)"
pop65yo[38, "COUNTRY"] <- "Congo (Brazzaville)"
pop65yo[46, "COUNTRY"] <- "Czechia"
pop65yo[53, "COUNTRY"] <- "Egypt"
pop65yo[66, "COUNTRY"] <- "Gambia"
pop65yo[82, "COUNTRY"] <- "Iran"
pop65yo[95, "COUNTRY"] <- "Korea, South"
pop65yo[92, "COUNTRY"] <- "Kyrgyzstan"
pop65yo[97, "COUNTRY"] <- "Laos"
pop65yo[101, "COUNTRY"] <- "Saint Lucia"
pop65yo[116, "COUNTRY"] <- "Burma"
pop65yo[148, "COUNTRY"] <- "Russia"
pop65yo[162, "COUNTRY"] <- "Slovakia"
pop65yo[167, "COUNTRY"] <- "Syria"
pop65yo[182, "COUNTRY"] <- "US"
pop65yo[184, "COUNTRY"] <- "Saint Vincent and the Grenadines"
pop65yo[185, "COUNTRY"] <- "Venezuela"
pop65yo[186, "COUNTRY"] <- "Virgin Islands"
pop65yo[190, "COUNTRY"] <- "Yemen"
pop65yo[5, "COUNTRY"] <- "United Arab Emirates"
pop65yo[62, "COUNTRY"] <- "United Kingdom"
pop65yo[132, "COUNTRY"] <- "New Zealand"
pop65yo[150, "COUNTRY"] <- "Saudi Arabia"
pop65yo[191, "COUNTRY"] <- "South Africa"

pop65yo <- subset(pop65yo, is.element(pop65yo$COUNTRY, Final_Data_Country$COUNTRY))

# I only keep the columns I care about.
colnames(pop65yo)

## [1] "value"   "country" "COUNTRY" "prop65"

myvarspop65yo <- c("prop65", "COUNTRY")

pop65yo <- pop65yo[myvarspop65yo]

pop65yo <- pop65yo[order(pop65yo$COUNTRY, pop65yo$prop65),]

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

Final_Data_Country <- merge(Final_Data_Country, pop65yo, by = c("COUNTRY"), all=TRUE)

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

# Now, I add another world development indicator for the proportion of the population which is urban: https://data.worldbank.org/indicator/SP.URB.TOTL.in.zs. 
urbanpp <- read_csv("data/urbanpp.csv")

## Parsed with column specification:
## cols(
##   propurban = col_double(),
##   COUNTRY = col_character()
## )

# Next, I correct the country names.
urbanpp[21, "COUNTRY"] <- "Bahamas"
urbanpp[29, "COUNTRY"] <- "Brunei"
urbanpp[40, "COUNTRY"] <- "Congo (Kinshasa)"
urbanpp[41, "COUNTRY"] <- "Congo (Brazzaville)"
urbanpp[50, "COUNTRY"] <- "Czechia"
urbanpp[58, "COUNTRY"] <- "Egypt"
urbanpp[73, "COUNTRY"] <- "Gambia"
urbanpp[91, "COUNTRY"] <- "Iran"
urbanpp[105, "COUNTRY"] <- "Korea, South"
urbanpp[101, "COUNTRY"] <- "Kyrgyzstan"
urbanpp[107, "COUNTRY"] <- "Laos"
urbanpp[111, "COUNTRY"] <- "Saint Lucia"
urbanpp[129, "COUNTRY"] <- "Burma"
urbanpp[164, "COUNTRY"] <- "Russia"
urbanpp[179, "COUNTRY"] <- "Slovakia"
urbanpp[185, "COUNTRY"] <- "Syria"
urbanpp[202, "COUNTRY"] <- "US"
urbanpp[204, "COUNTRY"] <- "Saint Vincent and the Grenadines"
urbanpp[205, "COUNTRY"] <- "Venezuela"
urbanpp[206, "COUNTRY"] <- "Virgin Islands"
urbanpp[211, "COUNTRY"] <- "Yemen"
urbanpp[6, "COUNTRY"] <- "United Arab Emirates"
urbanpp[68, "COUNTRY"] <- "United Kingdom"
urbanpp[147, "COUNTRY"] <- "New Zealand"
urbanpp[166, "COUNTRY"] <- "Saudi Arabia"
urbanpp[212, "COUNTRY"] <- "South Africa"

urbanpp <- subset(urbanpp, is.element(urbanpp$COUNTRY, Final_Data_Country$COUNTRY))

# I only keep the columns I care about.
colnames(urbanpp)

## [1] "propurban" "COUNTRY"

myvarsurbanpp <- c("propurban", "COUNTRY")

urbanpp <- urbanpp[myvarsurbanpp]

Final_Data_Country <- merge(Final_Data_Country, urbanpp, by = c("COUNTRY"), all=TRUE)

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

# Now, I add the population density indicator. Note the latest year available for this data is 2018. 
popdensity <- read.csv("data/popdensity.csv")
  
popdensity$COUNTRY <- popdensity$Country.Name

# Next, I correct the country names.
popdensity[22, "COUNTRY"] <- "Bahamas"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Bahamas"): invalid factor level,
## NA generated

popdensity[30, "COUNTRY"] <- "Brunei"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Brunei"): invalid factor level,
## NA generated

popdensity[42, "COUNTRY"] <- "Congo (Kinshasa)"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Kinshasa)"): invalid
## factor level, NA generated

popdensity[43, "COUNTRY"] <- "Congo (Brazzaville)"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Brazzaville)"): invalid
## factor level, NA generated

popdensity[53, "COUNTRY"] <- "Czechia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Czechia"): invalid factor level,
## NA generated

popdensity[66, "COUNTRY"] <- "Egypt"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Egypt"): invalid factor level,
## NA generated

popdensity[85, "COUNTRY"] <- "Gambia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Gambia"): invalid factor level,
## NA generated

popdensity[111, "COUNTRY"] <- "Iran"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Iran"): invalid factor level, NA
## generated

popdensity[125, "COUNTRY"] <- "Korea, South"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Korea, South"): invalid factor
## level, NA generated

popdensity[121, "COUNTRY"] <- "Kyrgyzstan"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Kyrgyzstan"): invalid factor
## level, NA generated

popdensity[128, "COUNTRY"] <- "Laos"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Laos"): invalid factor level, NA
## generated

popdensity[132, "COUNTRY"] <- "Saint Lucia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Lucia"): invalid factor
## level, NA generated

popdensity[159, "COUNTRY"] <- "Burma"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Burma"): invalid factor level,
## NA generated

popdensity[201, "COUNTRY"] <- "Russia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Russia"): invalid factor level,
## NA generated

popdensity[220, "COUNTRY"] <- "Slovakia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Slovakia"): invalid factor
## level, NA generated

popdensity[226, "COUNTRY"] <- "Syria"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Syria"): invalid factor level,
## NA generated

popdensity[250, "COUNTRY"] <- "US"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "US"): invalid factor level, NA
## generated

popdensity[252, "COUNTRY"] <- "Saint Vincent and the Grenadines"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Vincent and the
## Grenadines"): invalid factor level, NA generated

popdensity[253, "COUNTRY"] <- "Venezuela"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Venezuela"): invalid factor
## level, NA generated

popdensity[255, "COUNTRY"] <- "Virgin Islands"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Virgin Islands"): invalid factor
## level, NA generated

popdensity[261, "COUNTRY"] <- "Yemen"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Yemen"): invalid factor level,
## NA generated

popdensity[7, "COUNTRY"] <- "United Arab Emirates"
popdensity[80, "COUNTRY"] <- "United Kingdom"
popdensity[179, "COUNTRY"] <- "New Zealand"
popdensity[204, "COUNTRY"] <- "Saudi Arabia"
popdensity[262, "COUNTRY"] <- "South Africa"

popdensity <- subset(popdensity, COUNTRY %in% Final_Data_Country$COUNTRY)

# I only keep the columns I care about.
colnames(popdensity)

## [1] "Country.Name" "popdensity"   "COUNTRY"

myvarspopdensity <- c("popdensity", "COUNTRY")

popdensity <- popdensity[myvarspopdensity]

popdensity <- popdensity[order(popdensity$COUNTRY, popdensity$popdensity),]

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

Final_Data_Country <- merge(Final_Data_Country, popdensity, by = c("COUNTRY"), all=TRUE)

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]  

Merging the mobility data.

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

# Here, I integrate the Apple Mobility data. 
mobility <- read.csv("data/applemobilitytrends-2020-06-13.csv")

# First, we convert from wide to long format.
mobility <- pivot_longer(mobility, cols = starts_with("X"), names_to = "Dates")

# Next, we reformat the dates.
mobility$Dates<-sub(".", "", mobility$Dates)
mobility$Date <- mdy(mobility$Dates, quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"),
  truncated = 0)

# I only keep the variables we care about. I also filter for only countries (we can re-add cities at a later period).

mobility <- mobility %>%
  dplyr:: filter(mobility$geo_type == "country/region")

colnames(mobility)

## [1] "geo_type"            "region"              "transportation_type"
## [4] "alternative_name"    "sub.region"          "country"            
## [7] "Dates"               "value"               "Date"

myvarsmobility <- c("region", "transportation_type", "Date", "value")

mobility <- mobility[myvarsmobility]

mobility$COUNTRY <- mobility$region

# Now, I re-convert from long to wide format.
mobility <- pivot_wider(mobility, id_cols = c("COUNTRY", "Date", "transportation_type"), names_from = "transportation_type", values_from = c("value"))

mobility <- subset(mobility, is.element(mobility$COUNTRY, Final_Data_Country$COUNTRY))

Final_Data_Country <- merge(Final_Data_Country, mobility, by = c("COUNTRY", "Date"), all=TRUE)

Now, I add our controls for cross-country travel.

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

# First, I add information on the number of tourist arrivals (2018 is l.y.a.). Run this in the console
arrivals <- read.csv("data/arrivals.csv")

arrivals$COUNTRY <- arrivals$Country.Name

# Next, I correct the country names.
arrivals[22, "COUNTRY"] <- "Bahamas"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Bahamas"): invalid factor level,
## NA generated

arrivals[30, "COUNTRY"] <- "Brunei"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Brunei"): invalid factor level,
## NA generated

arrivals[42, "COUNTRY"] <- "Congo (Kinshasa)"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Kinshasa)"): invalid
## factor level, NA generated

arrivals[43, "COUNTRY"] <- "Congo (Brazzaville)"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Brazzaville)"): invalid
## factor level, NA generated

arrivals[53, "COUNTRY"] <- "Czechia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Czechia"): invalid factor level,
## NA generated

arrivals[66, "COUNTRY"] <- "Egypt"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Egypt"): invalid factor level,
## NA generated

arrivals[85, "COUNTRY"] <- "Gambia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Gambia"): invalid factor level,
## NA generated

arrivals[111, "COUNTRY"] <- "Iran"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Iran"): invalid factor level, NA
## generated

arrivals[125, "COUNTRY"] <- "Korea, South"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Korea, South"): invalid factor
## level, NA generated

arrivals[121, "COUNTRY"] <- "Kyrgyzstan"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Kyrgyzstan"): invalid factor
## level, NA generated

arrivals[128, "COUNTRY"] <- "Laos"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Laos"): invalid factor level, NA
## generated

arrivals[132, "COUNTRY"] <- "Saint Lucia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Lucia"): invalid factor
## level, NA generated

arrivals[159, "COUNTRY"] <- "Burma"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Burma"): invalid factor level,
## NA generated

arrivals[201, "COUNTRY"] <- "Russia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Russia"): invalid factor level,
## NA generated

arrivals[220, "COUNTRY"] <- "Slovakia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Slovakia"): invalid factor
## level, NA generated

arrivals[226, "COUNTRY"] <- "Syria"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Syria"): invalid factor level,
## NA generated

arrivals[250, "COUNTRY"] <- "US"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "US"): invalid factor level, NA
## generated

arrivals[252, "COUNTRY"] <- "Saint Vincent and the Grenadines"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Vincent and the
## Grenadines"): invalid factor level, NA generated

arrivals[253, "COUNTRY"] <- "Venezuela"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Venezuela"): invalid factor
## level, NA generated

arrivals[255, "COUNTRY"] <- "Virgin Islands"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Virgin Islands"): invalid factor
## level, NA generated

arrivals[261, "COUNTRY"] <- "Yemen"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Yemen"): invalid factor level,
## NA generated

arrivals[7, "COUNTRY"] <- "United Arab Emirates"
arrivals[80, "COUNTRY"] <- "United Kingdom"
arrivals[179, "COUNTRY"] <- "New Zealand"
arrivals[204, "COUNTRY"] <- "Saudi Arabia"
arrivals[262, "COUNTRY"] <- "South Africa"

arrivals <- subset(arrivals, COUNTRY %in% Final_Data_Country$COUNTRY)

# I only keep the columns I care about.
colnames(arrivals)

## [1] "Country.Name" "Country.Code" "arrivals"     "COUNTRY"

myvarsarrivals <- c("arrivals", "COUNTRY")

arrivals <- arrivals[myvarsarrivals]

Final_Data_Country <- merge(Final_Data_Country, arrivals, by = c("COUNTRY"), all=TRUE)

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

# Next, I add information on tourism departures (2018 is l.y.a.). 
departures <- read.csv("data/departures.csv")

departures$COUNTRY <- departures$Country.Name

# Next, I correct the country names.
departures[22, "COUNTRY"] <- "Bahamas"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Bahamas"): invalid factor level,
## NA generated

departures[30, "COUNTRY"] <- "Brunei"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Brunei"): invalid factor level,
## NA generated

departures[42, "COUNTRY"] <- "Congo (Kinshasa)"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Kinshasa)"): invalid
## factor level, NA generated

departures[43, "COUNTRY"] <- "Congo (Brazzaville)"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Brazzaville)"): invalid
## factor level, NA generated

departures[53, "COUNTRY"] <- "Czechia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Czechia"): invalid factor level,
## NA generated

departures[66, "COUNTRY"] <- "Egypt"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Egypt"): invalid factor level,
## NA generated

departures[85, "COUNTRY"] <- "Gambia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Gambia"): invalid factor level,
## NA generated

departures[111, "COUNTRY"] <- "Iran"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Iran"): invalid factor level, NA
## generated

departures[125, "COUNTRY"] <- "Korea, South"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Korea, South"): invalid factor
## level, NA generated

departures[121, "COUNTRY"] <- "Kyrgyzstan"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Kyrgyzstan"): invalid factor
## level, NA generated

departures[128, "COUNTRY"] <- "Laos"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Laos"): invalid factor level, NA
## generated

departures[132, "COUNTRY"] <- "Saint Lucia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Lucia"): invalid factor
## level, NA generated

departures[159, "COUNTRY"] <- "Burma"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Burma"): invalid factor level,
## NA generated

departures[201, "COUNTRY"] <- "Russia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Russia"): invalid factor level,
## NA generated

departures[220, "COUNTRY"] <- "Slovakia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Slovakia"): invalid factor
## level, NA generated

departures[226, "COUNTRY"] <- "Syria"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Syria"): invalid factor level,
## NA generated

departures[250, "COUNTRY"] <- "US"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "US"): invalid factor level, NA
## generated

departures[252, "COUNTRY"] <- "Saint Vincent and the Grenadines"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Vincent and the
## Grenadines"): invalid factor level, NA generated

departures[253, "COUNTRY"] <- "Venezuela"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Venezuela"): invalid factor
## level, NA generated

departures[255, "COUNTRY"] <- "Virgin Islands"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Virgin Islands"): invalid factor
## level, NA generated

departures[261, "COUNTRY"] <- "Yemen"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Yemen"): invalid factor level,
## NA generated

departures[7, "COUNTRY"] <- "United Arab Emirates"
departures[80, "COUNTRY"] <- "United Kingdom"
departures[179, "COUNTRY"] <- "New Zealand"
departures[204, "COUNTRY"] <- "Saudi Arabia"
departures[262, "COUNTRY"] <- "South Africa"

departures <- subset(departures, COUNTRY %in% Final_Data_Country$COUNTRY)

# I only keep the columns I care about.
colnames(departures)

## [1] "Country.Name" "departures"   "COUNTRY"

myvarsdepartures <- c("departures", "COUNTRY")

departures <- departures[myvarsdepartures]

Final_Data_Country <- merge(Final_Data_Country, departures, by = c("COUNTRY"), all=TRUE)

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

Now, I add additional country-specific characteristics gathered from the World Bank. All data is from 2018, unless noted.

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

# First, I add the percentage of vulnerable employment by nation from: https://data.worldbank.org/indicator/SL.EMP.VULN.ZS?view=chart 
vulnerable_employment <- read.csv("data/vulnerable_employment.csv")

# Next, I correct the country names.
vulnerable_employment[22, "COUNTRY"] <- "Bahamas"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Bahamas"): invalid factor level,
## NA generated

vulnerable_employment[30, "COUNTRY"] <- "Brunei"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Brunei"): invalid factor level,
## NA generated

vulnerable_employment[42, "COUNTRY"] <- "Congo (Kinshasa)"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Kinshasa)"): invalid
## factor level, NA generated

vulnerable_employment[43, "COUNTRY"] <- "Congo (Brazzaville)"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Brazzaville)"): invalid
## factor level, NA generated

vulnerable_employment[53, "COUNTRY"] <- "Czechia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Czechia"): invalid factor level,
## NA generated

vulnerable_employment[66, "COUNTRY"] <- "Egypt"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Egypt"): invalid factor level,
## NA generated

vulnerable_employment[85, "COUNTRY"] <- "Gambia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Gambia"): invalid factor level,
## NA generated

vulnerable_employment[111, "COUNTRY"] <- "Iran"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Iran"): invalid factor level, NA
## generated

vulnerable_employment[125, "COUNTRY"] <- "Korea, South"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Korea, South"): invalid factor
## level, NA generated

vulnerable_employment[121, "COUNTRY"] <- "Kyrgyzstan"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Kyrgyzstan"): invalid factor
## level, NA generated

vulnerable_employment[128, "COUNTRY"] <- "Laos"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Laos"): invalid factor level, NA
## generated

vulnerable_employment[132, "COUNTRY"] <- "Saint Lucia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Lucia"): invalid factor
## level, NA generated

vulnerable_employment[159, "COUNTRY"] <- "Burma"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Burma"): invalid factor level,
## NA generated

vulnerable_employment[201, "COUNTRY"] <- "Russia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Russia"): invalid factor level,
## NA generated

vulnerable_employment[220, "COUNTRY"] <- "Slovakia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Slovakia"): invalid factor
## level, NA generated

vulnerable_employment[226, "COUNTRY"] <- "Syria"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Syria"): invalid factor level,
## NA generated

vulnerable_employment[250, "COUNTRY"] <- "US"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "US"): invalid factor level, NA
## generated

vulnerable_employment[252, "COUNTRY"] <- "Saint Vincent and the Grenadines"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Vincent and the
## Grenadines"): invalid factor level, NA generated

vulnerable_employment[253, "COUNTRY"] <- "Venezuela"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Venezuela"): invalid factor
## level, NA generated

vulnerable_employment[255, "COUNTRY"] <- "Virgin Islands"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Virgin Islands"): invalid factor
## level, NA generated

vulnerable_employment[261, "COUNTRY"] <- "Yemen"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Yemen"): invalid factor level,
## NA generated

vulnerable_employment[7, "COUNTRY"] <- "United Arab Emirates"
vulnerable_employment[80, "COUNTRY"] <- "United Kingdom"
vulnerable_employment[179, "COUNTRY"] <- "New Zealand"
vulnerable_employment[204, "COUNTRY"] <- "Saudi Arabia"
vulnerable_employment[262, "COUNTRY"] <- "South Africa"

vulnerable_employment <- subset(vulnerable_employment, COUNTRY %in% Final_Data_Country$COUNTRY)

# I only keep the columns I care about.
colnames(vulnerable_employment)

## [1] "COUNTRY" "vul_emp"

myvarsvulnerable_employment <- c("vul_emp", "COUNTRY")

vulnerable_employment <- vulnerable_employment[myvarsvulnerable_employment]

Final_Data_Country <- merge(Final_Data_Country, vulnerable_employment, by = c("COUNTRY"), all=TRUE)

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

# Next, I add GNI per capita from: https://data.worldbank.org/indicator/NY.GNP.PCAP.CD?view=chart. 
GNI <- read.csv("data/GNI.csv")

# Next, I correct the country names.
GNI[22, "COUNTRY"] <- "Bahamas"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Bahamas"): invalid factor level,
## NA generated

GNI[30, "COUNTRY"] <- "Brunei"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Brunei"): invalid factor level,
## NA generated

GNI[42, "COUNTRY"] <- "Congo (Kinshasa)"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Kinshasa)"): invalid
## factor level, NA generated

GNI[43, "COUNTRY"] <- "Congo (Brazzaville)"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Brazzaville)"): invalid
## factor level, NA generated

GNI[53, "COUNTRY"] <- "Czechia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Czechia"): invalid factor level,
## NA generated

GNI[66, "COUNTRY"] <- "Egypt"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Egypt"): invalid factor level,
## NA generated

GNI[85, "COUNTRY"] <- "Gambia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Gambia"): invalid factor level,
## NA generated

GNI[111, "COUNTRY"] <- "Iran"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Iran"): invalid factor level, NA
## generated

GNI[125, "COUNTRY"] <- "Korea, South"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Korea, South"): invalid factor
## level, NA generated

GNI[121, "COUNTRY"] <- "Kyrgyzstan"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Kyrgyzstan"): invalid factor
## level, NA generated

GNI[128, "COUNTRY"] <- "Laos"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Laos"): invalid factor level, NA
## generated

GNI[132, "COUNTRY"] <- "Saint Lucia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Lucia"): invalid factor
## level, NA generated

GNI[159, "COUNTRY"] <- "Burma"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Burma"): invalid factor level,
## NA generated

GNI[201, "COUNTRY"] <- "Russia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Russia"): invalid factor level,
## NA generated

GNI[220, "COUNTRY"] <- "Slovakia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Slovakia"): invalid factor
## level, NA generated

GNI[226, "COUNTRY"] <- "Syria"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Syria"): invalid factor level,
## NA generated

GNI[250, "COUNTRY"] <- "US"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "US"): invalid factor level, NA
## generated

GNI[252, "COUNTRY"] <- "Saint Vincent and the Grenadines"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Vincent and the
## Grenadines"): invalid factor level, NA generated

GNI[253, "COUNTRY"] <- "Venezuela"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Venezuela"): invalid factor
## level, NA generated

GNI[255, "COUNTRY"] <- "Virgin Islands"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Virgin Islands"): invalid factor
## level, NA generated

GNI[261, "COUNTRY"] <- "Yemen"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Yemen"): invalid factor level,
## NA generated

GNI[7, "COUNTRY"] <- "United Arab Emirates"
GNI[80, "COUNTRY"] <- "United Kingdom"
GNI[179, "COUNTRY"] <- "New Zealand"
GNI[204, "COUNTRY"] <- "Saudi Arabia"
GNI[262, "COUNTRY"] <- "South Africa"

GNI <- subset(GNI, COUNTRY %in% Final_Data_Country$COUNTRY)

# I only keep the columns I care about.
colnames(GNI)

## [1] "COUNTRY" "GNI"

myvarsGNI <- c("GNI", "COUNTRY")

GNI <- GNI[myvarsGNI]

Final_Data_Country <- merge(Final_Data_Country, GNI, by = c("COUNTRY"), all=TRUE)

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

# Next, I control for current health expenditures (l.y.a. is 2017): https://data.worldbank.org/indicator/SH.XPD.CHEX.PC.CD?view=chart. 
health_pc <- read.csv("data/health_pc.csv")

# Next, I correct the country names.
health_pc[22, "COUNTRY"] <- "Bahamas"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Bahamas"): invalid factor level,
## NA generated

health_pc[30, "COUNTRY"] <- "Brunei"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Brunei"): invalid factor level,
## NA generated

health_pc[42, "COUNTRY"] <- "Congo (Kinshasa)"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Kinshasa)"): invalid
## factor level, NA generated

health_pc[43, "COUNTRY"] <- "Congo (Brazzaville)"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Brazzaville)"): invalid
## factor level, NA generated

health_pc[53, "COUNTRY"] <- "Czechia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Czechia"): invalid factor level,
## NA generated

health_pc[66, "COUNTRY"] <- "Egypt"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Egypt"): invalid factor level,
## NA generated

health_pc[85, "COUNTRY"] <- "Gambia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Gambia"): invalid factor level,
## NA generated

health_pc[111, "COUNTRY"] <- "Iran"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Iran"): invalid factor level, NA
## generated

health_pc[125, "COUNTRY"] <- "Korea, South"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Korea, South"): invalid factor
## level, NA generated

health_pc[121, "COUNTRY"] <- "Kyrgyzstan"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Kyrgyzstan"): invalid factor
## level, NA generated

health_pc[128, "COUNTRY"] <- "Laos"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Laos"): invalid factor level, NA
## generated

health_pc[132, "COUNTRY"] <- "Saint Lucia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Lucia"): invalid factor
## level, NA generated

health_pc[159, "COUNTRY"] <- "Burma"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Burma"): invalid factor level,
## NA generated

health_pc[201, "COUNTRY"] <- "Russia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Russia"): invalid factor level,
## NA generated

health_pc[220, "COUNTRY"] <- "Slovakia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Slovakia"): invalid factor
## level, NA generated

health_pc[226, "COUNTRY"] <- "Syria"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Syria"): invalid factor level,
## NA generated

health_pc[250, "COUNTRY"] <- "US"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "US"): invalid factor level, NA
## generated

health_pc[252, "COUNTRY"] <- "Saint Vincent and the Grenadines"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Vincent and the
## Grenadines"): invalid factor level, NA generated

health_pc[253, "COUNTRY"] <- "Venezuela"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Venezuela"): invalid factor
## level, NA generated

health_pc[255, "COUNTRY"] <- "Virgin Islands"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Virgin Islands"): invalid factor
## level, NA generated

health_pc[261, "COUNTRY"] <- "Yemen"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Yemen"): invalid factor level,
## NA generated

health_pc[7, "COUNTRY"] <- "United Arab Emirates"
health_pc[80, "COUNTRY"] <- "United Kingdom"
health_pc[179, "COUNTRY"] <- "New Zealand"
health_pc[204, "COUNTRY"] <- "Saudi Arabia"
health_pc[262, "COUNTRY"] <- "South Africa"

health_pc <- subset(health_pc, COUNTRY %in% Final_Data_Country$COUNTRY)

# I only keep the columns I care about.
colnames(health_pc)

## [1] "COUNTRY"    "health_exp"

myvarshealth_pc <- c("health_exp", "COUNTRY")

health_pc <- health_pc[myvarshealth_pc]

Final_Data_Country <- merge(Final_Data_Country, health_pc, by = c("COUNTRY"), all=TRUE)

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

# I also add data on air pollution by nation from: https://data.worldbank.org/indicator/EN.ATM.PM25.MC.M3?view=chart. 
pollution <- read.csv("data/pollution.csv")

# Next, I correct the country names.
pollution[22, "COUNTRY"] <- "Bahamas"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Bahamas"): invalid factor level,
## NA generated

pollution[30, "COUNTRY"] <- "Brunei"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Brunei"): invalid factor level,
## NA generated

pollution[42, "COUNTRY"] <- "Congo (Kinshasa)"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Kinshasa)"): invalid
## factor level, NA generated

pollution[43, "COUNTRY"] <- "Congo (Brazzaville)"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Brazzaville)"): invalid
## factor level, NA generated

pollution[53, "COUNTRY"] <- "Czechia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Czechia"): invalid factor level,
## NA generated

pollution[66, "COUNTRY"] <- "Egypt"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Egypt"): invalid factor level,
## NA generated

pollution[85, "COUNTRY"] <- "Gambia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Gambia"): invalid factor level,
## NA generated

pollution[111, "COUNTRY"] <- "Iran"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Iran"): invalid factor level, NA
## generated

pollution[125, "COUNTRY"] <- "Korea, South"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Korea, South"): invalid factor
## level, NA generated

pollution[121, "COUNTRY"] <- "Kyrgyzstan"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Kyrgyzstan"): invalid factor
## level, NA generated

pollution[128, "COUNTRY"] <- "Laos"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Laos"): invalid factor level, NA
## generated

pollution[132, "COUNTRY"] <- "Saint Lucia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Lucia"): invalid factor
## level, NA generated

pollution[159, "COUNTRY"] <- "Burma"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Burma"): invalid factor level,
## NA generated

pollution[201, "COUNTRY"] <- "Russia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Russia"): invalid factor level,
## NA generated

pollution[220, "COUNTRY"] <- "Slovakia"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Slovakia"): invalid factor
## level, NA generated

pollution[226, "COUNTRY"] <- "Syria"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Syria"): invalid factor level,
## NA generated

pollution[250, "COUNTRY"] <- "US"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "US"): invalid factor level, NA
## generated

pollution[252, "COUNTRY"] <- "Saint Vincent and the Grenadines"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Vincent and the
## Grenadines"): invalid factor level, NA generated

pollution[253, "COUNTRY"] <- "Venezuela"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Venezuela"): invalid factor
## level, NA generated

pollution[255, "COUNTRY"] <- "Virgin Islands"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Virgin Islands"): invalid factor
## level, NA generated

pollution[261, "COUNTRY"] <- "Yemen"

## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Yemen"): invalid factor level,
## NA generated

pollution[7, "COUNTRY"] <- "United Arab Emirates"
pollution[80, "COUNTRY"] <- "United Kingdom"
pollution[179, "COUNTRY"] <- "New Zealand"
pollution[204, "COUNTRY"] <- "Saudi Arabia"
pollution[262, "COUNTRY"] <- "South Africa"

pollution <- subset(pollution, COUNTRY %in% Final_Data_Country$COUNTRY)

# I only keep the columns I care about.
colnames(pollution)

## [1] "COUNTRY"   "pollution"

myvarspollution <- c("pollution", "COUNTRY")

pollution <- pollution[myvarspollution]

Final_Data_Country <- merge(Final_Data_Country, pollution, by = c("COUNTRY"), all=TRUE)

# Here, I add democracy indicators from Freedom House: https://freedomhouse.org/countries/freedom-world/scores and the Economist: https://www.eiu.com/topic/democracy-index?&zid=democracyindex2019&utm_source=blog&utm_medium=blog&utm_name=democracyindex2019&utm_term=democracyindex2019&utm_content=top_link. 

democracy <- read.csv("data/democracy.csv")

democracy <- subset(democracy, COUNTRY %in% Final_Data_Country$COUNTRY)

# I only keep the columns I care about.
colnames(democracy)

## [1] "COUNTRY"       "EUI_democracy" "freedom_house"

myvarsdemocracy <- c("EUI_democracy", "freedom_house", "COUNTRY")

democracy <- democracy[myvarsdemocracy]

Final_Data_Country <- merge(Final_Data_Country, democracy, by = c("COUNTRY"), all=TRUE)

# Here, I add data on the number of cellular subscriptions by nation from: https://data.worldbank.org/indicator/IT.CEL.SETS.P2?start=196.

cellular <- read.csv("data/cellular.csv")

cellular <- subset(cellular, COUNTRY %in% Final_Data_Country$COUNTRY)

# I only keep the columns I care about.
colnames(cellular)

## [1] "COUNTRY"      "cellular_sub"

myvarscellular <- c("cellular_sub", "COUNTRY")

cellular <- cellular[myvarscellular]

Final_Data_Country <- merge(Final_Data_Country, cellular, by = c("COUNTRY"), all=TRUE)

# Now, I add military data from: https://correlatesofwar.org/data-sets/national-material-capabilities. Note the l.y.a. is 2012.

military <- read.csv("data/military.csv")

military <- subset(military, COUNTRY %in% Final_Data_Country$COUNTRY)

# I only keep the columns I care about.
colnames(military)

## [1] "COUNTRY" "milex"   "milper"  "irst"    "pec"     "cinc"

myvarsmilitary <- c("milex", "milper", "irst", "pec", "cinc", "COUNTRY")

military <- military[myvarsmilitary]

Final_Data_Country <- merge(Final_Data_Country, military, by = c("COUNTRY"), all=TRUE)

Adding data on prior deaths from diseases.

# I now add data on diseases (aggregated from 2015-2018) from the WHO ICD10: https://www.who.int/classifications/icd/icdonlineversions/en/. 
diseases <- read.csv("data/ICD_Deaths_Final.csv")

diseases <- subset(diseases, COUNTRY %in% Final_Data_Country$COUNTRY)

Final_Data_Country <- merge(Final_Data_Country, diseases, by = c("COUNTRY"), all=TRUE)

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

Performing final edits and saving the dataframe (plus filtering the sample).

# Labelling our variables.
label(Final_Data_Country$C1_School.closing) <- "Record Closings of Schools and Universities (0 - No Measures; 1 - Recommended Closing; 2 - Required Closing (some levels); 3 - Required Closing (all levels))"
label(Final_Data_Country$C1_Flag) <- "Targeted vs. General School Closings (0 - Targeted; 1 - General)"
label(Final_Data_Country$C2_Workplace.closing) <- "Record Closings of Workplaces (0 - No Measures; 1 - Recommended Closing; 2 - Required Closing (some sectors); 3 - Required Closing (all but essential workers))"
label(Final_Data_Country$C2_Flag) <- "Targeted vs. General Workplace Closings (0 - Targeted; 1 - General)"
label(Final_Data_Country$C3_Cancel.public.events) <- "Record Closings of Public Events (0 - No Measures; 1 - Recommended Cancelling; 2 - Required Cancelling)"
label(Final_Data_Country$C3_Flag) <- "Targeted vs. General Public Event Closings (0 - Targeted; 1 - General)"
label(Final_Data_Country$C4_Restrictions.on.gatherings) <- "Restrictions on Public Gatherings (0 - No Measures; 1 - Restrictions on Gatherings of 1000 + people; 2 - Restrictions on Gatherings of 100-1000 people; 3 - Restrictions on Gatherings of 10-100 people; 4 - Restrictions on Gatherings of < 10 people)"
label(Final_Data_Country$C4_Flag) <- "Targeted vs. General Public Gathering Restrictions (0 - Targeted; 1 - General)"
label(Final_Data_Country$C5_Close.public.transport) <- "Record Closings of Public Transport (0 - No Measures; 1 - Recommended Closing (means of transport reduced); 2 - Required Closing (prohibit public transit operations))"
label(Final_Data_Country$C5_Flag) <- "Targeted vs. General Public Transport Closings (0 - Targeted; 1 - General)"
label(Final_Data_Country$C6_Stay.at.home.requirements) <- "Lockdown Measures (0 - No Measures; 1 - Recommendeded; 2 - Lax Lockdown (allows for exercise, shopping, and essential trips); 3 - Strict Lockdown)"
label(Final_Data_Country$C6_Flag) <- "Targeted vs. General Lockdown (0 - Targeted; 1 - General)"
label(Final_Data_Country$C7_Restrictions.on.internal.movement) <- "Record Restrictions on Internal Movement (0 - No Measures; 1 - Recommend Movement Restriction (reduce means of transport); 2 - Restrict Movement (prohibit internal movement))"
label(Final_Data_Country$C7_Flag) <- "Targeted vs. General Restrictions on Internal Movement (0 - Targeted; 1 - General)"
label(Final_Data_Country$C8_International.travel.controls) <- "Record Restrictions on International Travel (0 - No Measures; 1 - Screening; 2 - Quarantine on High-Risk Regions; 3 - Ban on High-Risk Regions)"
label(Final_Data_Country$E1_Income.support) <- "Income Support (0 - None; 1 - Govt. Funds < 50% of Lost Salary; 2 - Govt. Funds > 50% of Lost Salary)"
label(Final_Data_Country$E1_Flag) <- "Targeted vs. General Income Support"
label(Final_Data_Country$E2_Debt.contract.relief) <- "Debt Relief (0 - None; 1 - Narrow Relief (specific kinds of contracts); 2 - Broad Relief)"
label(Final_Data_Country$E3_Fiscal.measures) <- "Value of Fiscal Stimuli, Including Spending or Tax Cuts (in USD)"
label(Final_Data_Country$H1_Public.information.campaigns) <- "Record Presence of Public Information Campaigns (0 - No; 1 - Public Officials Urge Caution; 2 - Coordinated Public Information Campaign)"
label(Final_Data_Country$H1_Flag) <- "Targeted vs. General Public Information Campaigns (0 - Targeted; 1 - General)"
label(Final_Data_Country$H2_Testing.policy) <- "Who Can Get Tested (0 - No Testing Policy; 1 - Testing for those with a) Symptoms AND b) Meet Given Criteria (key workers; admitted to hospital; came into contact with known patient; returned from overseas); 2 - Testing of anyone showing symptoms; 3 - Open Public Testing ('drive-through testing')"
label(Final_Data_Country$H3_Contact.tracing) <- "Contact Tracing (0 - No Contact Tracing; 1 - Limited Contact Tracing; 2 - Comprehensive Contact Tracing)"
label(Final_Data_Country$H4_Emergency.investment.in.healthcare) <- "Value of New Short-Term Spending on Health (in USD)"
label(Final_Data_Country$H5_Investment.in.vaccines) <- "Value of Investment (in USD)"
label(Final_Data_Country$StringencyIndex) <- "Index for Government Stringency (calculated using C1-S8 + H1)"
label(Final_Data_Country$Oxford_Cases) <- "Cumulative Sum of Confirmed Cases by Country (Oxford)"
label(Final_Data_Country$Oxford_Deaths) <- "Cumulative Sum of Deaths by Country (Oxford)"
label(Final_Data_Country$prop65) <- "Proportion of the Population Above Age 65"
label(Final_Data_Country$propurban) <- "Proportion of Population in Urban Areas"
label(Final_Data_Country$popdensity) <- "People per 100 Sq. Km. of Land Area"
label(Final_Data_Country$arrivals) <- "Number of Tourist Arrivals"
label(Final_Data_Country$departures) <- "Number of Tourist Departures"
label(Final_Data_Country$vul_emp) <- "Percentage of Population in Vulnerable Employment"
label(Final_Data_Country$GNI) <- "GNI per capita (current USD - Atlas Method) "
label(Final_Data_Country$health_exp) <- "Health Expenditure Per Capita"
label(Final_Data_Country$pollution) <- "PM2.5 Air Pollution (micrograms per cubic meter)"
label(Final_Data_Country$EUI_democracy) <- "Democracy scores from the Economist Intelligence Unit"
label(Final_Data_Country$freedom_house) <- "Democracy scores from Freedom House"
label(Final_Data_Country$milex) <- "Military expenditures (thousands of GBP)"
label(Final_Data_Country$milper) <- "Military personnel (thousands of soldiers)"
label(Final_Data_Country$irst) <- "Iron and steel production (thousands of ton)"
label(Final_Data_Country$pec) <- "Primary energy consumption (thousands of coal-ton equivalents)"
label(Final_Data_Country$cinc) <- "Composite Index of National Capability score"

# I restrict the analysis to Eurozone countries, from a list pulled from here: https://europa.eu/european-union/about-eu/countries_en.

Final_Data_Country <- subset(Final_Data_Country, (COUNTRY == "Austria" | COUNTRY == "Belgium" | COUNTRY == "Cyprus" | COUNTRY == "Estonia" | COUNTRY == "Finland" | COUNTRY == "France" | COUNTRY == "Germany" | COUNTRY == "Greece" | COUNTRY == "Ireland" | COUNTRY == "Italy" | COUNTRY == "Latvia" | COUNTRY == "Lithuania" | COUNTRY == "Luxembourg" | COUNTRY == "Malta" | COUNTRY == "Netherlands" | COUNTRY == "Portugal" | COUNTRY == "Slovakia" | COUNTRY == "Slovenia" | COUNTRY == "Spain"))

Adding data on government indicators.

# I now add data on government indicators from: https://info.worldbank.org/governance/wgi/Home/Documents. 
govt <- read.csv("data/govt.csv")

govt <- subset(govt, COUNTRY %in% Final_Data_Country$COUNTRY)

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

Final_Data_Country <- merge(Final_Data_Country, govt, by = c("COUNTRY"), all=TRUE)

Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]

Oxford_V1 <- Final_Data_Country

library(writexl)
library(readxl)

# I added nine additional columns for fiscal and monetary interventions (which had to be manually aggregated from different online datasets and hard coded). This new version of the dataset is imported below.

remove(Oxford_V1)

Oxford_V1 <- read_excel("data/Oxford_V1.xlsx")

Now, I calculate deaths per million.

library(data.table)
library(dplyr)
library(writexl)
library(readxl)

# To calculate deaths per million, news sources divide the number of cumulative (total) deaths by the population size, measured in millions. Luxembourg and Malta have less than a million inhabitants, and thus I do not calculate deaths per million for these nations. Data was pulled from: https://www.statista.com/statistics/1104709/coronavirus-deaths-worldwide-per-million-inhabitants/.

Mill_Pop <- read_excel("data/Mill_Pop.xlsx")

Oxford_V1 <- merge(Oxford_V1, Mill_Pop, by = c("COUNTRY"), all=TRUE)

Oxford_V1 <- Oxford_V1[order(Oxford_V1$COUNTRY, Oxford_V1$Date),]

Oxford_V1$New_Deaths_Per_Million = (Oxford_V1$New_Total_Deceased_Country / Oxford_V1$`Population (Millions)`)

Oxford_V1 <- Oxford_V1[order(Oxford_V1$COUNTRY, Oxford_V1$Date),]

Oxford_V1$Total_Deaths_Per_Million = (Oxford_V1$Total_Deceased_Country / Oxford_V1$`Population (Millions)`)

VISUALIZATIONS

# Importing libraries.
library(lubridate)
library(zoo)
library(quantmod)
library(fBasics)
library(tseries)
library(sandwich)
library(lmtest)
library(lattice)
library(xtable)

## 
## Attaching package: 'xtable'

## The following objects are masked from 'package:Hmisc':
## 
##     label, label<-

## The following object is masked from 'package:timeSeries':
## 
##     align

## The following object is masked from 'package:timeDate':
## 
##     align

## The following objects are masked from 'package:summarytools':
## 
##     label, label<-

library(vars)
library(plyr)

## ------------------------------------------------------------------------------

## You have loaded plyr after dplyr - this is likely to cause problems.
## If you need functions from both plyr and dplyr, please load plyr first, then dplyr:
## library(plyr); library(dplyr)

## ------------------------------------------------------------------------------

## 
## Attaching package: 'plyr'

## The following objects are masked from 'package:Hmisc':
## 
##     is.discrete, summarize

## The following objects are masked from 'package:plotly':
## 
##     arrange, mutate, rename, summarise

## The following objects are masked from 'package:reshape':
## 
##     rename, round_any

## The following objects are masked from 'package:dplyr':
## 
##     arrange, count, desc, failwith, id, mutate, rename, summarise,
##     summarize

## The following object is masked from 'package:purrr':
## 
##     compact

library(gridExtra)
library(corrplot)
library(ggplot2)
library(reshape2)

## 
## Attaching package: 'reshape2'

## The following objects are masked from 'package:data.table':
## 
##     dcast, melt

## The following objects are masked from 'package:reshape':
## 
##     colsplit, melt, recast

## The following object is masked from 'package:tidyr':
## 
##     smiths

library(data.table)
library(rvest)

## Loading required package: xml2

## 
## Attaching package: 'xml2'

## The following object is masked from 'package:rlang':
## 
##     as_list

## 
## Attaching package: 'rvest'

## The following object is masked from 'package:Hmisc':
## 
##     html

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## 
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## The following object is masked from 'package:readr':
## 
##     guess_encoding

library(foreign)
library(dplyr)
library(plm)
library(stringr)
library(stargazer)
library(survival)
library(ggfortify)
library(plotly)
library(sf)
library(readr)
library(mapview)
library(ggplot2)
library(tidyverse)
library(reshape)
library(rgdal)
library(lubridate)
library(plotly)
library(patchwork)
library(ggforce)
library(gridExtra)
library(htmltools)
library(data.table)
library(webshot)
library(coronavirus)
library(runner)
library(zoo)
library(DataCombine)
library(fastDummies)
library(car)
library(heatmaply)
library(htmlwidgets)
library(summarytools)
library(glmnet)
library(caret)
library(mlbench)
library(psych)
library(plm)
library(lmtest)
library(quantmod)
library(leaflet)
library(corrplot)
library(fBasics)
library(stargazer)
library(tseries)
library(vars)
library(dplyr)
library(haven)

# Remove factor variables for government responses.
Oxford_V1<-Oxford_V1 %>% dplyr::select(-contains("Flag"))
Oxford_V1<-Oxford_V1 %>% dplyr::select(-contains("Lagged"))
Oxford_V1$latitude <- NULL
Oxford_V1$longitude <- NULL

Days_Since_100_Deceased <- Oxford_V1 %>%
  dplyr:: filter(Total_Deceased_Country >= 100)

Days_Since_100_Deceased <- Days_Since_100_Deceased %>%
  dplyr::group_by(COUNTRY) %>%
  dplyr::mutate(Days = row_number(COUNTRY))

Plot_10 <- plot_ly(Days_Since_100_Deceased, x=~Days, y=~Total_Deceased_Country) %>%
  add_lines(linetype = ~COUNTRY) %>%
  layout(title="Days Since 100 Deaths - Eurozone")
Plot_10

## Warning: plotly.js only supports 6 different linetypes

# Next, I construct a graph illustrating the seven-day rolling average of new deaths, new cases, and the mortality rate per capita. This is a version of the fourth Bloomberg plot from the above link. You will need to slide to the right (to March 2020) to see variation in these plots (or simply check the output folder). 

## Please note that Hopkins revised their estimates of deaths in Spain downwards on May 27th. We do not include dates for which the cumulative sum of deaths decreases (as this is not intuitive), and hence there are some gaps in the visualizations.

Oxford_V1 <- Oxford_V1[order(Oxford_V1$COUNTRY, Oxford_V1$Date),]

Plot_13 <- plot_ly(Oxford_V1, x=~Date, y=~rolling_average_confirmed) %>% add_lines(linetype = ~COUNTRY) %>% layout(title="Rolling Average of Confirmed Cases")
Plot_13

## Warning: plotly.js only supports 6 different linetypes

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
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Plot_14 <- plot_ly(Oxford_V1, x=~Date, y=~rolling_average_deceased) %>%
  add_lines(linetype = ~COUNTRY) %>%
  layout(title="Rolling Average of Deaths")
Plot_14

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Plot_15 <- plot_ly(Oxford_V1, x=~Date, y=~total_rolling_average_mortality) %>% add_lines(linetype = ~COUNTRY) %>% layout(title="Total Rolling Average of Mortality Rate per Capita")
Plot_15

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Plot_16 <- plot_ly(Oxford_V1, x=~Date, y=~new_rolling_average_mortality) %>% add_lines(linetype = ~COUNTRY) %>% layout(title="New Rolling Average of Mortality Rate per Capita")
Plot_16

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# Here, I plot the global confirmed cases over our time period.
exponential <- function(x) exp(x)
exponential_function <- ggplot(data = data.frame(x=c(0,10)), mapping=aes(x=x)) + stat_function(fun = exponential)
exponential_function

Confirmed <- ggplot(data = World_Data, aes(x = Date, y = Global_Confirmed_Cases)) + geom_bar(stat = "identity", fill = "red") +
      labs(title = "Global Confirmed Cases - COVID19",
           subtitle = "January 22nd, 2020 - June 15th, 2020",
           x = "Date", y = "Confirmed Cases")
Plot_17 <- ggplotly(Confirmed)
Plot_17

# Now, I plot the global deaths over our time period.
Deaths <- ggplot(data = World_Data, aes(x = Date, y = Global_Deceased)) +
      geom_bar(stat = "identity", fill = "darkred") +
      labs(title = "Global Deaths - COVID19",
           subtitle = "January 22nd, 2020 - June 15th, 2020",
           x = "Date", y = "Deaths")
Plot_18 <- ggplotly(Deaths)
Plot_18

# Now, I plot the change in the global death rate across the time period.
Death_Rate <- ggplot(World_Data, aes(x=Date)) +
geom_line(aes(y=Death_Rate, colour='Daily')) +
xlab('') + ylab('Death Rate (%)') + labs(title='Change in Death Rate (%)') +
theme(legend.position='bottom', legend.title=element_blank(),
legend.text=element_text(size=8),
legend.key.size=unit(0.5, 'cm'),
axis.text.x=element_text(angle=45, hjust=1))
Plot_21 <- ggplotly(Death_Rate)
Plot_21

# Now, I extend this analysis to generate the number of confirmed cases and deaths by country.
Plot_23 <- plot_ly(Oxford_V1, x=~Date, y=~Total_Cases_Country) %>%
  add_lines(linetype = ~COUNTRY) %>%
  layout(title="Confirmed Cases Across Countries")
Plot_23

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Plot_24 <- plot_ly(Oxford_V1, x=~Date, y=~Total_Deceased_Country) %>%
  add_lines(linetype = ~COUNTRY) %>%
  layout(title="Deaths Across Countries")
Plot_24

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Plot_25 <- plot_ly(Oxford_V1, x=~Date, y=~Total_Mortality_Rate_Per_Capita) %>%
  add_lines(linetype = ~COUNTRY) %>%
  layout(title="Total Mortality Rate Across Countries")
Plot_25

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Plot_26 <- plot_ly(Oxford_V1, x=~Date, y=~New_Mortality_Rate_Per_Capita) %>%
  add_lines(linetype = ~COUNTRY) %>%
  layout(title="New Mortality Rate Across Countries")
Plot_26

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Weekly Growth Rate Visualizations

# Here, I filter by first deaths per country.
First_Death <- Oxford_V1 %>%
  dplyr::group_by(COUNTRY) %>%
  dplyr::filter(Total_Deceased_Country > 0)

# Now, I calculate the week-by-week growth rate in the rolling average of the mortality rate. This is equivalent to the log[total_total_rolling_average_mortality_(t) – total_total_rolling_average_mortality_(t-7)]. First, I create a variable for weeks by country. This tells us in what week of the year each nation had their first death.
First_Death$week_num = lubridate::week(ymd(First_Death$Date))

# Next, I generate week-over-week mortality growth rates. Should be (current week - previous week)/previous week. I use two distinct formulas for this calculation.

First_Death <- First_Death %>%
  dplyr::group_by(COUNTRY) %>%
  dplyr::mutate(total_mortality_growth = log((total_rolling_average_mortality/Lag(total_rolling_average_mortality,7))))

First_Death <- First_Death %>%
  dplyr::group_by(COUNTRY) %>%
  dplyr::mutate(total_mortality_growth_b <- (total_rolling_average_mortality-Lag(total_rolling_average_mortality,7))/Lag(total_rolling_average_mortality,7))

First_Death$total_mortality_growth_b  <- log(First_Death$`... <- NULL`,10)

## Warning: NaNs produced

First_Death <- First_Death %>%
  dplyr::group_by(COUNTRY) %>%
  dplyr::mutate(new_mortality_growth <- log((new_rolling_average_mortality/Lag(new_rolling_average_mortality,7)))) 

First_Death$new_mortality_growth  <- First_Death$`... <- NULL`

First_Death <- First_Death %>%
  dplyr::group_by(COUNTRY) %>%
  dplyr::mutate(new_mortality_growth_b <- (new_rolling_average_mortality-Lag(new_rolling_average_mortality,7))/Lag(new_rolling_average_mortality,7))

First_Death$new_mortality_growth_b  <- log(First_Death$`... <- NULL`,10)

## Warning: NaNs produced

# Please see the First Death dataset in the data folder.

# The following code allows us to visualize the rolling average of the mortality rate by country.
Plot_27A <- plot_ly(First_Death, x=~Date, y=~total_rolling_average_mortality) %>%
  add_lines(linetype = ~COUNTRY) %>%
  layout(title="Total Rolling Average of Mortality Rate Over Time - COVID19")
Plot_27A

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Plot_28 <- Plot_27A %>% layout(yaxis = list(type = "log"))
Plot_28

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Plot_27B <- plot_ly(First_Death, x=~Date, y=~new_rolling_average_mortality) %>%
  add_lines(linetype = ~COUNTRY) %>%
  layout(title="New Rolling Average of Mortality Rate Over Time - COVID19")
Plot_27B

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# Here, I add a facet wrap for each nation in our sample.
Plot_28B <- ggplot(data = First_Death, aes(Date, log(total_rolling_average_mortality))) + geom_line(size=.7) + facet_wrap(~COUNTRY, switch="x", ncol = 7) + theme_bw() + theme(axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.text.x=element_blank(),
        axis.ticks.x=element_blank(),
        axis.title.x = element_blank(),
        strip.background = element_rect(color="white", fill="white"))

## Warning: 'switch' is deprecated.
## Use 'strip.position' instead.
## See help("Deprecated")

Plot_28B

Plot_28C <- ggplot(data = First_Death, aes(x = Date, y = new_rolling_average_mortality, group = COUNTRY)) + geom_line() + theme_bw() + theme(legend.title = element_blank(), axis.text.y=element_blank(), axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("Rolling Average New Mortality")
Plot_28C

Generating Figures 1.1, 1.2 and 1.3.

library(gghighlight)

Plot_28D <- ggplot(data = First_Death, aes(x = Date, y = new_rolling_average_mortality * 100, color = COUNTRY)) + geom_line() + theme_bw() + theme(axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("New Mortality Rate (%)")
Plot_28D

First_Death_High <- First_Death %>%
  dplyr::filter(COUNTRY == "Belgium" | COUNTRY == "Spain" | COUNTRY == "Italy" | COUNTRY == "France" | COUNTRY == "Netherlands" | COUNTRY == "Ireland")

Plot_28D.1 <- ggplot(data = First_Death_High, aes(x = Date, y = new_rolling_average_mortality * 100, color = COUNTRY)) + geom_line() + theme_bw() + theme(axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("New Mortality Rate (%)")
Plot_28D.1

First_Death_Medium <- First_Death %>%
  dplyr::filter(COUNTRY == "Luxembourg" | COUNTRY == "Portugal" | COUNTRY == "Germany" | COUNTRY == "Austria" | COUNTRY == "Finland")

Plot_28D.2 <- ggplot(data = First_Death_Medium, aes(x = Date, y = new_rolling_average_mortality * 100, color = COUNTRY)) + geom_line() + theme_bw() + theme(axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("New Mortality Rate (%)")
Plot_28D.2

First_Death_Low <- First_Death %>%
 dplyr::filter(COUNTRY == "Slovenia" | COUNTRY == "Lithuania" | COUNTRY == "Greece" | COUNTRY == "Latvia" | COUNTRY == "Slovakia")

Plot_28D.3 <- ggplot(data = First_Death_Low, aes(x = Date, y = new_rolling_average_mortality * 100, color = COUNTRY)) + geom_line() + theme_bw() + theme(axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("New Mortality Rate (%)")
Plot_28D.3

Plot_28E <- ggplot(data = First_Death, aes(x = Date, y = log(total_rolling_average_mortality), color = COUNTRY)) + geom_line() + theme_bw() + theme(legend.title = element_blank(), legend.position = "none", axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("Logged Cumulative Mortality Rate")
Plot_28E

## Cyprus, Malta, and Luxembourg excluded from below.

Oxford_Filtered <- Oxford_V1 %>%
  dplyr::filter(COUNTRY != "Malta") %>%
  dplyr::filter(COUNTRY != "Luxembourg") %>%
  dplyr::filter(COUNTRY != "Cyprus")

countriez <- unique(Oxford_Filtered$COUNTRY)
country_plots<-list()

for(i in 1:length(countriez)) {
    country_plots[[i]] <- ggplot(data=subset(Oxford_Filtered,COUNTRY==countriez[i]), aes_string(x="Date",y="new_rolling_average_mortality"))+geom_line(size=1)+theme_bw()+ylab("")+xlab(countriez[i])+theme(axis.text=element_blank())
}

Plot28F <- do.call("grid.arrange", c(country_plots))

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Oxford_Death <- Oxford_V1 %>%
  dplyr::group_by(COUNTRY) %>%
  dplyr::filter(Total_Deceased_Country > 0)

Plot_28G <- ggplot(data = Oxford_Death, aes(x = Date, y = Total_Deaths_Per_Million, color = COUNTRY)) + geom_line() + theme_bw() + theme( axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("Total Deaths Per Million")
Plot_28G

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Plot_28G.1 <- plot_ly(Oxford_Death, x=~Date, y=~Total_Deaths_Per_Million) %>%
  add_lines(linetype = ~COUNTRY) %>%
  layout(title="Total Total_Deaths_Per_Million")
Plot_28G.1

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Oxford_Death_High <- Oxford_V1 %>%
  dplyr::filter(COUNTRY == "Belgium" | COUNTRY == "Spain" | COUNTRY == "Italy" | COUNTRY == "France" | COUNTRY == "Netherlands" | COUNTRY == "Estonia")

Plot_28H <- ggplot(data = Oxford_Death_High, aes(x = Date, y = Total_Deaths_Per_Million, color = COUNTRY)) + geom_line() + theme_bw() + theme( axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("Total Deaths Per Million")
Plot_28H

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Oxford_Death_Medium <- Oxford_V1 %>%
  dplyr::filter(COUNTRY == "Portugal" | COUNTRY == "Germany" | COUNTRY == "Finland" | COUNTRY == "Austria" | COUNTRY == "Estonia")

Plot_28I <- ggplot(data = Oxford_Death_Medium, aes(x = Date, y = Total_Deaths_Per_Million, color = COUNTRY)) + geom_line() + theme_bw() + theme( axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("Total Deaths Per Million")
Plot_28I

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Oxford_Death_Low <- Oxford_V1 %>%
 dplyr::filter(COUNTRY == "Slovenia" | COUNTRY == "Lithuania" | COUNTRY == "Greece" | COUNTRY == "Latvia" | COUNTRY == "Slovakia")

Plot_28J <- ggplot(data = Oxford_Death_Low, aes(x = Date, y = Total_Deaths_Per_Million, color = COUNTRY)) + geom_line() + theme_bw() + theme( axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("Total Deaths Per Million")
Plot_28J

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# Next, I create initial visualizations of the mortality growth rates by country.
Plot_29 <- plot_ly(First_Death, x=~Date, y=~total_mortality_growth) %>%
  add_lines(linetype = ~COUNTRY) %>%
  layout(title="Weekly Growth Rate in Total Rolling Average Mortality per Capita - COVID19")
Plot_29

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## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

Plot_30 <- plot_ly(First_Death, x=~Date, y=~total_mortality_growth_b) %>%
  add_lines(linetype = ~COUNTRY) %>%
  layout(title="Alternate Weekly Growth Rate in Total Rolling Average Mortality per Capita - COVID19")
Plot_30

## Warning: plotly.js only supports 6 different linetypes

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

Plot_31 <- plot_ly(First_Death, x=~Date, y=~new_mortality_growth) %>%
  add_lines(linetype = ~COUNTRY) %>%
  layout(title="Weekly Growth Rate in New Rolling Average Mortality per Capita - COVID19")
Plot_31

## Warning: plotly.js only supports 6 different linetypes

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'

# First, we generate extensive summary statistics for each variable with describe in the Hmisc function.
Hmisc::describe(Oxford_V1)

## Oxford_V1 
## 
##  79  Variables      3138  Observations
## --------------------------------------------------------------------------------
## COUNTRY 
##        n  missing distinct 
##     3138        0       19 
## 
## lowest : Austria     Belgium     Cyprus      Estonia     Finland    
## highest: Netherlands Portugal    Slovakia    Slovenia    Spain      
## 
## Austria (167, 0.053), Belgium (167, 0.053), Cyprus (167, 0.053), Estonia (167,
## 0.053), Finland (167, 0.053), France (167, 0.053), Germany (167, 0.053), Greece
## (167, 0.053), Ireland (167, 0.053), Italy (167, 0.053), Latvia (155, 0.049),
## Lithuania (167, 0.053), Luxembourg (167, 0.053), Malta (144, 0.046),
## Netherlands (167, 0.053), Portugal (167, 0.053), Slovakia (167, 0.053),
## Slovenia (167, 0.053), Spain (167, 0.053)
## --------------------------------------------------------------------------------
## Date 
##          n    missing   distinct       Info       Mean        Gmd        .05 
##       3138          0        167          1 2020-03-25    4772407 2020-01-10 
##        .10        .25        .50        .75        .90        .95 
## 2020-01-19 2020-02-13 2020-03-25 2020-05-05 2020-05-30 2020-06-07 
## 
## lowest : 2020-01-01 2020-01-02 2020-01-03 2020-01-04 2020-01-05
## highest: 2020-06-11 2020-06-12 2020-06-13 2020-06-14 2020-06-15
## --------------------------------------------------------------------------------
## Total_Cases_Country 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2717      421     1696    0.992    25253    42545        0        0 
##      .25      .50      .75      .90      .95 
##        2     1030    13980   106540   185048 
## 
## lowest :      0      1      2      3      4, highest: 242280 242707 243209 243605 243928
## --------------------------------------------------------------------------------
## Total_Deceased_Country 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2717      421      870    0.953     2646     4666        0        0 
##      .25      .50      .75      .90      .95 
##        0       17      444     8466    24671 
## 
## lowest :     0     1     2     3     4, highest: 34114 34167 34223 34301 34345
## --------------------------------------------------------------------------------
## New_Confirmed_Country 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2717      421      722    0.974    401.1    698.4      0.0      0.0 
##      .25      .50      .75      .90      .95 
##      0.0     12.0    186.0    967.6   2459.4 
## 
## lowest :     0     1     2     3     4, highest:  8195  8271  9630 12490 26849
## --------------------------------------------------------------------------------
## New_Total_Deceased_Country 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2717      421      328    0.831    44.46    80.07      0.0      0.0 
##      .25      .50      .75      .90      .95 
##      0.0      0.0      9.0    113.0    288.2 
## 
## lowest :    0    1    2    3    4, highest: 1054 1122 1341 1417 1438
## --------------------------------------------------------------------------------
## Population 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2717      421       19    0.997 17816441 23208978   441539   625976 
##      .25      .50      .75      .90      .95 
##  1886202  5540718 17134873 65273512 83783945 
## 
## lowest :   441539   625976  1207361  1326539  1886202
## highest: 17134873 46754783 60461828 65273512 83783945
## 
## 441539 (144, 0.053), 625976 (143, 0.053), 1207361 (143, 0.053), 1326539 (144,
## 0.053), 1886202 (144, 0.053), 2078932 (144, 0.053), 2722291 (143, 0.053),
## 4937796 (142, 0.052), 5459643 (143, 0.053), 5540718 (142, 0.052), 9006400 (144,
## 0.053), 10196707 (143, 0.053), 10423056 (144, 0.053), 11589616 (144, 0.053),
## 17134873 (144, 0.053), 46754783 (142, 0.052), 60461828 (144, 0.053), 65273512
## (137, 0.050), 83783945 (143, 0.053)
## --------------------------------------------------------------------------------
## Total_Mortality_Rate_Per_Capita 
##           n     missing    distinct        Info        Mean         Gmd 
##        2717         421        1213       0.953  0.00008317   0.0001333 
##         .05         .10         .25         .50         .75         .90 
## 0.000000000 0.000000000 0.000000000 0.000006892 0.000060830 0.000336646 
##         .95 
## 0.000508625 
## 
## lowest : 0.00000000000000 0.00000001532015 0.00000001653936 0.00000002138819 0.00000002387092
## highest: 0.00083082994294 0.00083143393189 0.00083229677325 0.00083264190979 0.00083307333047
## --------------------------------------------------------------------------------
## New_Mortality_Rate_Per_Capita 
##           n     missing    distinct        Info        Mean         Gmd 
##        2717         421         629       0.832 0.000001443 0.000002423 
##         .05         .10         .25         .50         .75         .90 
## 0.000000000 0.000000000 0.000000000 0.000000000 0.000001079 0.000004411 
##         .95 
## 0.000008416 
## 
## lowest : 0.00000000000000 0.00000001193546 0.00000001532015 0.00000001653936 0.00000002138819
## highest: 0.00002821491238 0.00003477250670 0.00003598048460 0.00004279693132 0.00004455429102
## --------------------------------------------------------------------------------
## Total_Cases_Country_Per_Capita 
##            n      missing     distinct         Info         Mean          Gmd 
##         2717          421         1915        0.992     0.001094     0.001512 
##          .05          .10          .25          .50          .75          .90 
## 0.0000000000 0.0000000000 0.0000001805 0.0003059057 0.0015663638 0.0036365935 
##          .95 
## 0.0049412636 
## 
## lowest : 0.00000000000000 0.00000001193546 0.00000002138819 0.00000003064030 0.00000003307872
## highest: 0.00646829910412 0.00647309162013 0.00647788413613 0.00649066417882 0.00650184671617
## --------------------------------------------------------------------------------
## rolling_average_confirmed 
##         n   missing  distinct      Info      Mean       Gmd       .05       .10 
##      2717       421      1176     0.989     398.8       689    0.0000    0.0000 
##       .25       .50       .75       .90       .95 
##    0.1429   12.7143  193.5714 1017.4286 2605.0857 
## 
## lowest :    0.0000000    0.1428571    0.2000000    0.2857143    0.4285714
## highest: 7754.1428571 7800.4285714 8005.4285714 8049.4285714 8387.0000000
## --------------------------------------------------------------------------------
## rolling_average_deceased 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2717      421      612    0.935    44.33     79.3   0.0000   0.0000 
##      .25      .50      .75      .90      .95 
##   0.0000   0.4286  10.0000 128.0571 274.2000 
## 
## lowest :   0.0000000   0.1428571   0.2857143   0.4285714   0.5714286
## highest: 902.7142857 924.7142857 956.4285714 973.0000000 975.7142857
## --------------------------------------------------------------------------------
## total_rolling_average_mortality 
##           n     missing    distinct        Info        Mean         Gmd 
##        2717         421        1618       0.954  0.00007887   0.0001276 
##         .05         .10         .25         .50         .75         .90 
## 0.000000000 0.000000000 0.000000000 0.000005129 0.000055821 0.000326543 
##         .95 
## 0.000487127 
## 
## lowest : 0.000000000000000 0.000000002188593 0.000000002362766 0.000000003055455 0.000000003410132
## highest: 0.000827625103615 0.000828709818464 0.000829695922872 0.000830558764230 0.000831298342536
## --------------------------------------------------------------------------------
## new_rolling_average_mortality 
##            n      missing     distinct         Info         Mean          Gmd 
##         2717          421          977        0.935  0.000001439  0.000002362 
##          .05          .10          .25          .50          .75          .90 
## 0.0000000000 0.0000000000 0.0000000000 0.0000001183 0.0000011411 0.0000042028 
##          .95 
## 0.0000084753 
## 
## lowest : 0.000000000000000 0.000000002188593 0.000000002362766 0.000000003055455 0.000000003410132
## highest: 0.000026427598144 0.000026538534889 0.000027117871229 0.000027993038892 0.000028769596113
## --------------------------------------------------------------------------------
## C1_School.closing 
##        n  missing distinct     Info     Mean      Gmd 
##     2865      273        4    0.868    1.483    1.447 
##                                   
## Value          0     1     2     3
## Frequency   1226    67   534  1038
## Proportion 0.428 0.023 0.186 0.362
## --------------------------------------------------------------------------------
## C2_Workplace.closing 
##        n  missing distinct     Info     Mean      Gmd 
##     2754      384        4    0.875    1.237    1.348 
##                                   
## Value          0     1     2     3
## Frequency   1273   183   671   627
## Proportion 0.462 0.066 0.244 0.228
## --------------------------------------------------------------------------------
## C3_Cancel.public.events 
##        n  missing distinct     Info     Mean      Gmd 
##     2865      273        3    0.748    1.159   0.9745 
##                             
## Value          0     1     2
## Frequency   1172    65  1628
## Proportion 0.409 0.023 0.568
## --------------------------------------------------------------------------------
## C4_Restrictions.on.gatherings 
##        n  missing distinct     Info     Mean      Gmd 
##     2865      273        5    0.859    1.901    1.942 
## 
## lowest : 0 1 2 3 4, highest: 0 1 2 3 4
##                                         
## Value          0     1     2     3     4
## Frequency   1323    44    48   493   957
## Proportion 0.462 0.015 0.017 0.172 0.334
## --------------------------------------------------------------------------------
## C5_Close.public.transport 
##        n  missing distinct     Info     Mean      Gmd 
##     2771      367        3    0.716   0.4421   0.6115 
##                             
## Value          0     1     2
## Frequency   1773   771   227
## Proportion 0.640 0.278 0.082
## --------------------------------------------------------------------------------
## C6_Stay.at.home.requirements 
##        n  missing distinct     Info     Mean      Gmd 
##     2771      367        4    0.834    0.756   0.9049 
##                                   
## Value          0     1     2     3
## Frequency   1433   602   715    21
## Proportion 0.517 0.217 0.258 0.008
## --------------------------------------------------------------------------------
## C7_Restrictions.on.internal.movement 
##        n  missing distinct     Info     Mean      Gmd 
##     2771      367        3    0.836   0.7503   0.8877 
##                             
## Value          0     1     2
## Frequency   1421   621   729
## Proportion 0.513 0.224 0.263
## --------------------------------------------------------------------------------
## C8_International.travel.controls 
##        n  missing distinct     Info     Mean      Gmd 
##     2855      283        5    0.899    1.874    1.824 
## 
## lowest : 0 1 2 3 4, highest: 0 1 2 3 4
##                                         
## Value          0     1     2     3     4
## Frequency   1177    53   220   764   641
## Proportion 0.412 0.019 0.077 0.268 0.225
## --------------------------------------------------------------------------------
## E1_Income.support 
##        n  missing distinct     Info     Mean      Gmd 
##     2776      362        3    0.817   0.8516   0.9621 
##                             
## Value          0     1     2
## Frequency   1417   354  1005
## Proportion 0.510 0.128 0.362
## --------------------------------------------------------------------------------
## E2_Debt.contract.relief 
##        n  missing distinct     Info     Mean      Gmd 
##     2763      375        3    0.834   0.8368    0.946 
##                             
## Value          0     1     2
## Frequency   1377   460   926
## Proportion 0.498 0.166 0.335
## --------------------------------------------------------------------------------
## E3_Fiscal.measures 
##          n    missing   distinct       Info       Mean        Gmd        .05 
##       2758        380         60      0.063  698571078 1394441770          0 
##        .10        .25        .50        .75        .90        .95 
##          0          0          0          0          0          0 
## 
## lowest :            0          434       536507      2742178      5659430
## highest:  68442949673 147000000000 238510000000 452656000000 709276000000
## 
## 0 (2725, 0.988), 2000000000 (7, 0.003), 4000000000 (7, 0.003), 6000000000 (2,
## 0.001), 8000000000 (2, 0.001), 10000000000 (4, 0.001), 14000000000 (2, 0.001),
## 16000000000 (1, 0.000), 42000000000 (1, 0.000), 48000000000 (1, 0.000),
## 60000000000 (1, 0.000), 68000000000 (1, 0.000), 148000000000 (1, 0.000),
## 238000000000 (1, 0.000), 452000000000 (1, 0.000), 710000000000 (1, 0.000)
## 
## For the frequency table, variable is rounded to the nearest 2e+09
## --------------------------------------------------------------------------------
## H1_Public.information.campaigns 
##        n  missing distinct     Info     Mean      Gmd 
##     2753      385        3    0.653    1.421   0.8216 
##                             
## Value          0     1     2
## Frequency    739   117  1897
## Proportion 0.268 0.042 0.689
## --------------------------------------------------------------------------------
## H2_Testing.policy 
##        n  missing distinct     Info     Mean      Gmd 
##     2753      385        4    0.904    1.123   0.9984 
##                                   
## Value          0     1     2     3
## Frequency    789  1056   688   220
## Proportion 0.287 0.384 0.250 0.080
## --------------------------------------------------------------------------------
## H3_Contact.tracing 
##        n  missing distinct     Info     Mean      Gmd 
##     2753      385        3    0.884   0.9415    0.915 
##                             
## Value          0     1     2
## Frequency   1063   788   902
## Proportion 0.386 0.286 0.328
## --------------------------------------------------------------------------------
## H4_Emergency.investment.in.healthcare 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2753      385       24    0.025 31126358 62207428        0        0 
##      .25      .50      .75      .90      .95 
##        0        0        0        0        0 
## 
## lowest :           0.0         585.0      179954.2      325949.0     1080970.9
## highest:  3500000000.0  3564000000.0  4213310800.0  4409436000.0 62997723800.0
## 
## 0 (2738, 0.995), 100000000 (3, 0.001), 300000000 (1, 0.000), 500000000 (1,
## 0.000), 600000000 (3, 0.001), 1100000000 (1, 0.000), 3100000000 (1, 0.000),
## 3500000000 (1, 0.000), 3600000000 (1, 0.000), 4200000000 (1, 0.000), 4400000000
## (1, 0.000), 63000000000 (1, 0.000)
## 
## For the frequency table, variable is rounded to the nearest 1e+08
## --------------------------------------------------------------------------------
## H5_Investment.in.vaccines 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2749      389       18    0.018   811940  1622171        0        0 
##      .25      .50      .75      .90      .95 
##        0        0        0        0        0 
## 
## lowest :         0    246961   1067577   1085695   3242505
## highest:  54880244 156510825 544911500 545000000 812000000
## 
## 0 (2732, 0.994), 246961 (1, 0.000), 1067576.52 (1, 0.000), 1085695 (1, 0.000),
## 3242505 (1, 0.000), 5427500 (1, 0.000), 5543828 (1, 0.000), 8010337 (1, 0.000),
## 10819830 (1, 0.000), 15300000 (1, 0.000), 19633914 (1, 0.000), 22000000 (1,
## 0.000), 26342520 (1, 0.000), 54880244 (1, 0.000), 156510825 (1, 0.000),
## 544911500 (1, 0.000), 545000000 (1, 0.000), 812000000 (1, 0.000)
## --------------------------------------------------------------------------------
## StringencyIndex 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2761      377      100    0.981    43.13    39.76     0.00     0.00 
##      .25      .50      .75      .90      .95 
##     0.00    50.00    77.78    85.19    90.74 
## 
## lowest :  0.00  1.85  2.78  5.56  8.33, highest: 90.74 91.67 92.59 93.52 94.44
## --------------------------------------------------------------------------------
## Oxford_Cases 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2645      493     1646    0.989    25725    42962        0        0 
##      .25      .50      .75      .90      .95 
##        1     1188    15651   119218   181222 
## 
## lowest :      0      1      2      3      4, highest: 242280 242707 243209 243605 243928
## --------------------------------------------------------------------------------
## Oxford_Deaths 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2645      493      880    0.951     2796     4900        0        0 
##      .25      .50      .75      .90      .95 
##        0       22      598     8709    25600 
## 
## lowest :     0     1     2     3     4, highest: 34114 34167 34223 34301 34345
## --------------------------------------------------------------------------------
## GovernmentResponseIndex 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2753      385      136     0.99    42.46    37.49     0.00     0.00 
##      .25      .50      .75      .90      .95 
##     2.56    53.85    74.36    82.69    84.62 
## 
## lowest :  0.00  1.92  2.56  3.85  5.77, highest: 85.90 86.54 87.82 91.03 96.15
## --------------------------------------------------------------------------------
## ContainmentHealthIndex 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2753      385      117    0.989    42.93    37.14     0.00     0.00 
##      .25      .50      .75      .90      .95 
##     3.03    53.79    73.48    81.82    85.61 
## 
## lowest :  0.00  2.27  3.03  4.55  6.82, highest: 88.64 89.39 90.15 91.67 95.45
## --------------------------------------------------------------------------------
## Latitude 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     3128       10       19    0.997    47.92    8.505    35.13    39.07 
##      .25      .50      .75      .90      .95 
##    40.46    48.67    53.41    58.60    61.92 
## 
## lowest : 35.12641 35.93750 39.07421 39.39987 40.46367
## highest: 53.41291 55.16944 56.87964 58.59527 61.92411
## 
## 35.126413 (167, 0.053), 35.937496 (144, 0.046), 39.074208 (167, 0.053),
## 39.399872 (167, 0.053), 40.463667 (167, 0.053), 41.87194 (167, 0.053),
## 46.151241 (167, 0.053), 46.227638 (167, 0.053), 47.516231 (167, 0.053),
## 48.669026 (167, 0.053), 49.815273 (167, 0.053), 50.503887 (167, 0.053),
## 51.165691 (167, 0.053), 52.132633 (167, 0.053), 53.41291 (167, 0.053),
## 55.169438 (167, 0.053), 56.879635 (145, 0.046), 58.595272 (167, 0.053),
## 61.92411 (167, 0.053)
## --------------------------------------------------------------------------------
## Longitude 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     3128       10       19    0.997    12.48    13.33   -8.244   -8.224 
##      .25      .50      .75      .90      .95 
##    4.470   14.375   23.881   25.748   33.430 
## 
## lowest : -8.243890 -8.224454 -3.749220  2.213749  4.469936
## highest: 23.881275 24.603189 25.013607 25.748151 33.429859
## 
## -8.24389 (167, 0.053), -8.224454 (167, 0.053), -3.74922 (167, 0.053), 2.213749
## (167, 0.053), 4.469936 (167, 0.053), 5.291266 (167, 0.053), 6.129583 (167,
## 0.053), 10.451526 (167, 0.053), 12.56738 (167, 0.053), 14.375416 (144, 0.046),
## 14.550072 (167, 0.053), 14.995463 (167, 0.053), 19.699024 (167, 0.053),
## 21.824312 (167, 0.053), 23.881275 (167, 0.053), 24.603189 (145, 0.046),
## 25.013607 (167, 0.053), 25.748151 (167, 0.053), 33.429859 (167, 0.053)
## --------------------------------------------------------------------------------
## prop65 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     3128       10       19    0.997    19.07    2.879    13.72    13.87 
##      .25      .50      .75      .90      .95 
##    18.79    19.63    21.46    21.95    22.75 
## 
## lowest : 13.71906 13.86580 14.18315 15.62925 18.78874
## highest: 21.46196 21.65527 21.72079 21.95386 22.75168
## 
## 13.719062 (167, 0.053), 13.865802 (167, 0.053), 14.183154 (167, 0.053),
## 15.629247 (167, 0.053), 18.788744 (167, 0.053), 19.001566 (167, 0.053),
## 19.196193 (167, 0.053), 19.378508 (167, 0.053), 19.60688 (167, 0.053),
## 19.626357 (167, 0.053), 19.705033 (167, 0.053), 20.034625 (167, 0.053),
## 20.04362 (145, 0.046), 20.349324 (144, 0.046), 21.461962 (167, 0.053),
## 21.655272 (167, 0.053), 21.720788 (167, 0.053), 21.953858 (167, 0.053),
## 22.75168 (167, 0.053)
## --------------------------------------------------------------------------------
## propurban 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     3128       10       19    0.997    74.34    14.84    53.73    54.54 
##      .25      .50      .75      .90      .95 
##    65.21    70.44    85.38    91.49    98.00 
## 
## lowest : 53.726 54.541 58.297 63.170 65.211, highest: 85.382 90.981 91.490 94.612 98.001
## 
## 53.726 (167, 0.053), 54.541 (167, 0.053), 58.297 (167, 0.053), 63.17 (167,
## 0.053), 65.211 (167, 0.053), 66.81 (167, 0.053), 67.679 (167, 0.053), 68.142
## (145, 0.046), 68.88 (167, 0.053), 70.438 (167, 0.053), 77.312 (167, 0.053),
## 79.058 (167, 0.053), 80.321 (167, 0.053), 80.444 (167, 0.053), 85.382 (167,
## 0.053), 90.981 (167, 0.053), 91.49 (167, 0.053), 94.612 (144, 0.046), 98.001
## (167, 0.053)
## --------------------------------------------------------------------------------
## popdensity 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2961      177       18    0.997    215.7    243.9    18.16    30.39 
##      .25      .50      .75      .90      .95 
##    70.45   107.21   237.37   511.46   511.46 
## 
## lowest :   18.15686   30.38611   30.98331   44.53135   70.45298
## highest:  237.37097  250.09383  377.21493  511.45791 1511.03125
## 
## 18.15685565 (167, 0.056), 30.38610536 (167, 0.056), 30.98330653 (145, 0.049),
## 44.53135138 (167, 0.056), 70.45298302 (167, 0.056), 83.22473235 (167, 0.056),
## 93.52905826 (167, 0.056), 102.6398595 (167, 0.056), 107.2069267 (167, 0.056),
## 112.2394535 (167, 0.056), 122.3383957 (167, 0.056), 128.7083333 (167, 0.056),
## 205.4507479 (167, 0.056), 237.3709698 (167, 0.056), 250.0938272 (167, 0.056),
## 377.2149273 (167, 0.056), 511.4579104 (167, 0.056), 1511.03125 (144, 0.049)
## --------------------------------------------------------------------------------
## driving 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2567      571     2276        1    82.94    39.58    23.03    30.41 
##      .25      .50      .75      .90      .95 
##    54.20    90.92   108.05   122.22   132.85 
## 
## lowest :  10.93  11.31  11.50  11.85  11.90, highest: 174.86 180.13 186.34 197.97 205.58
## --------------------------------------------------------------------------------
## walking 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2567      571     2318        1     82.1    47.87    16.34    27.23 
##      .25      .50      .75      .90      .95 
##    47.58    82.60   111.09   133.12   150.97 
## 
## lowest :   5.82   6.27   6.30   6.67   6.99, highest: 220.80 229.51 235.37 236.75 362.50
## --------------------------------------------------------------------------------
## transit 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     1661     1477     1511        1    65.39    46.42    11.07    13.65 
##      .25      .50      .75      .90      .95 
##    27.85    55.81   103.22   118.14   127.58 
## 
## lowest :   7.04   7.16   7.33   7.58   7.61, highest: 155.51 157.63 157.64 160.26 160.56
## --------------------------------------------------------------------------------
## arrivals 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2971      167       18    0.997 23113869 27475711  1018000  1946000 
##      .25      .50      .75      .90      .95 
##  3224000 10926000 30816000 82773000 89322000 
## 
## lowest :  1018000  1946000  2599000  2825000  3224000
## highest: 30816000 38881000 61567200 82773000 89322000
## 
## 1018000 (167, 0.056), 1946000 (155, 0.052), 2599000 (144, 0.048), 2825000 (167,
## 0.056), 3224000 (167, 0.056), 3234000 (167, 0.056), 3939000 (167, 0.056),
## 4425000 (167, 0.056), 9119000 (167, 0.056), 10926000 (167, 0.056), 16186000
## (167, 0.056), 18780000 (167, 0.056), 30123000 (167, 0.056), 30816000 (167,
## 0.056), 38881000 (167, 0.056), 61567200 (167, 0.056), 82773000 (167, 0.056),
## 89322000 (167, 0.056)
## --------------------------------------------------------------------------------
## departures 
##         n   missing  distinct      Info      Mean       Gmd       .05       .10 
##      2971       167        18     0.997  15532851  19641807   1368000   1368000 
##       .25       .50       .75       .90       .95 
##   2069000   8643000  19116000  33347100 108542000 
## 
## lowest :    667000   1368000   1446000   1989000   2069000
## highest:  19116000  22115000  26914000  33347100 108542000
## 
## 667000 (144, 0.048), 1368000 (155, 0.052), 1446000 (167, 0.056), 1989000 (167,
## 0.056), 2069000 (167, 0.056), 2244000 (167, 0.056), 2486000 (167, 0.056),
## 3188000 (167, 0.056), 7961000 (167, 0.056), 8643000 (167, 0.056), 9450000 (167,
## 0.056), 11883000 (167, 0.056), 13098000 (167, 0.056), 19116000 (167, 0.056),
## 22115000 (167, 0.056), 26914000 (167, 0.056), 33347100 (167, 0.056), 108542000
## (167, 0.056)
## --------------------------------------------------------------------------------
## vul_emp 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2971      167       18    0.997    10.52    4.476    5.615    5.620 
##      .25      .50      .75      .90      .95 
##    7.385   10.189   11.196   16.866   25.796 
## 
## lowest :  5.615  5.620  6.149  7.143  7.385, highest: 11.196 11.848 12.653 16.866 25.796
##                                                                          
## Value       5.615  5.620  6.149  7.143  7.385  7.428  9.152  9.585  9.809
## Frequency     167    167    167    155    167    167    167    167    144
## Proportion  0.056  0.056  0.056  0.052  0.056  0.056  0.056  0.056  0.048
##                                                                          
## Value      10.189 10.610 10.982 11.060 11.196 11.848 12.653 16.866 25.796
## Frequency     167    167    167    167    167    167    167    167    167
## Proportion  0.056  0.056  0.056  0.056  0.056  0.056  0.056  0.056  0.056
## --------------------------------------------------------------------------------
## GNI 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2971      167       18    0.997    36531    17545    16510    17430 
##      .25      .50      .75      .90      .95 
##    21990    33730    48280    61390    70870 
## 
## lowest : 16510 17430 19770 21140 21990, highest: 48280 49310 51260 61390 70870
##                                                                             
## Value      16510 17430 19770 21140 21990 24580 26480 28570 29340 33730 41080
## Frequency    155   167   167   167   167   167   144   167   167   167   167
## Proportion 0.052 0.056 0.056 0.056 0.056 0.056 0.048 0.056 0.056 0.056 0.056
##                                                     
## Value      45910 47090 48280 49310 51260 61390 70870
## Frequency    167   167   167   167   167   167   167
## Proportion 0.056 0.056 0.056 0.056 0.056 0.056 0.056
## --------------------------------------------------------------------------------
## health_exp 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2971      167       18    0.997     3183     1803    930.4   1078.2 
##      .25      .50      .75      .90      .95 
##   1731.7   2840.1   4911.4   5033.5   5782.6 
## 
## lowest :  930.3524 1078.1792 1300.4817 1516.5878 1731.6945
## highest: 4911.4404 4939.8755 4976.8623 5033.4521 5782.6284
## 
## 930.352356 (155, 0.052), 1078.179199 (167, 0.056), 1300.481689 (167, 0.056),
## 1516.587769 (167, 0.056), 1731.694458 (167, 0.056), 1908.033936 (167, 0.056),
## 1920.28186 (167, 0.056), 2506.464844 (167, 0.056), 2585.563965 (144, 0.048),
## 2840.130615 (167, 0.056), 4205.742676 (167, 0.056), 4379.727051 (167, 0.056),
## 4507.356445 (167, 0.056), 4911.44043 (167, 0.056), 4939.875488 (167, 0.056),
## 4976.862305 (167, 0.056), 5033.452148 (167, 0.056), 5782.628418 (167, 0.056)
## --------------------------------------------------------------------------------
## pollution 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2971      167       18    0.997    11.97    3.733    5.861    6.732 
##      .25      .50      .75      .90      .95 
##    9.698   12.029   13.910   16.751   17.294 
## 
## lowest :  5.861331  6.732124  8.160752  8.208577  9.697928
## highest: 13.909543 16.023980 16.218266 16.750712 17.294406
## 
## 5.861331001 (167, 0.056), 6.732124015 (167, 0.056), 8.160752248 (167, 0.056),
## 8.208576735 (167, 0.056), 9.697927863 (167, 0.056), 10.3646374 (167, 0.056),
## 11.81496362 (167, 0.056), 11.85328236 (167, 0.056), 12.02876736 (167, 0.056),
## 12.03440807 (167, 0.056), 12.47796673 (167, 0.056), 12.88651847 (167, 0.056),
## 13.42645752 (155, 0.052), 13.90954337 (144, 0.048), 16.02397998 (167, 0.056),
## 16.21826638 (167, 0.056), 16.75071194 (167, 0.056), 17.2944062 (167, 0.056)
## --------------------------------------------------------------------------------
## EUI_democracy 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     3138        0       18    0.996    8.072   0.7076     7.17     7.43 
##      .25      .50      .75      .90      .95 
##     7.50     7.95     8.68     9.24     9.25 
## 
## lowest : 7.17 7.43 7.49 7.50 7.52, highest: 8.68 8.81 9.01 9.24 9.25
##                                                                             
## Value       7.17  7.43  7.49  7.50  7.52  7.59  7.64  7.90  7.95  8.03  8.12
## Frequency    167   167   155   334   167   167   167   167   144   167   167
## Proportion 0.053 0.053 0.049 0.106 0.053 0.053 0.053 0.053 0.046 0.053 0.053
##                                                     
## Value       8.18  8.29  8.68  8.81  9.01  9.24  9.25
## Frequency    167   167   167   167   167   167   167
## Proportion 0.053 0.053 0.053 0.053 0.053 0.053 0.053
## --------------------------------------------------------------------------------
## freedom_house 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     3138        0       12    0.985     93.3    4.157       88       88 
##      .25      .50      .75      .90      .95 
##       90       94       96       99      100 
## 
## lowest :  88  89  90  91  92, highest:  96  97  98  99 100
##                                                                             
## Value         88    89    90    91    92    93    94    96    97    98    99
## Frequency    334   322   311   167   167   167   668   334   167   167   167
## Proportion 0.106 0.103 0.099 0.053 0.053 0.053 0.213 0.106 0.053 0.053 0.053
##                 
## Value        100
## Frequency    167
## Proportion 0.053
## --------------------------------------------------------------------------------
## cellular_sub 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     3138        0       19    0.997    125.3    17.52     99.7    103.2 
##      .25      .50      .75      .90      .95 
##    115.6    123.7    137.5    145.4    163.9 
## 
## lowest :  99.69669 103.17105 107.34892 108.35736 115.63304
## highest: 137.46695 138.90049 140.20394 145.43842 163.87035
## --------------------------------------------------------------------------------
## milex 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     3138        0       19    0.997  8843960 12641096   256000   267000 
##      .25      .50      .75      .90      .95 
##   437000  2640000 10376000 40994000 50283000 
## 
## lowest :    50000   256000   267000   329000   437000
## highest: 10376000 13927000 26496000 40994000 50283000
## 
## 50000 (144, 0.046), 256000 (155, 0.049), 267000 (167, 0.053), 329000 (167,
## 0.053), 437000 (167, 0.053), 450000 (167, 0.053), 509000 (167, 0.053), 1016000
## (167, 0.053), 1149000 (167, 0.053), 2640000 (167, 0.053), 3232000 (167, 0.053),
## 3601000 (167, 0.053), 4929000 (167, 0.053), 5266000 (167, 0.053), 10376000
## (167, 0.053), 13927000 (167, 0.053), 26496000 (167, 0.053), 40994000 (167,
## 0.053), 50283000 (167, 0.053)
## --------------------------------------------------------------------------------
## milper 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     3138        0       19    0.997    63.67    80.06        1        5 
##      .25      .50      .75      .90      .95 
##        8       22      143      239      251 
## 
## lowest :   1   2   5   6   8, highest: 143 146 185 239 251
##                                                                             
## Value          1     2     5     6     8    10    11    12    16    22    26
## Frequency    167   144   155   167   167   167   167   167   167   167   167
## Proportion 0.053 0.046 0.049 0.053 0.053 0.053 0.053 0.053 0.053 0.053 0.053
##                                                           
## Value         34    37    43   143   146   185   239   251
## Frequency    167   167   167   167   167   167   167   167
## Proportion 0.053 0.053 0.053 0.053 0.053 0.053 0.053 0.053
## --------------------------------------------------------------------------------
## irst 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     3138        0       15    0.981     7223     9850        0        0 
##      .25      .50      .75      .90      .95 
##        0     2208     7421    27252    42661 
## 
## lowest :     0   632   805  1247  1960, highest:  7421 13639 15609 27252 42661
##                                                                             
## Value          0   632   805  1247  1960  2208  3759  4403  6879  7301  7421
## Frequency    812   167   155   167   167   167   167   167   167   167   167
## Proportion 0.259 0.053 0.049 0.053 0.053 0.053 0.053 0.053 0.053 0.053 0.053
##                                   
## Value      13639 15609 27252 42661
## Frequency    167   167   167   167
## Proportion 0.053 0.053 0.053 0.053
## --------------------------------------------------------------------------------
## pec 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     3138        0       19    0.997    90388   117919      590     2776 
##      .25      .50      .75      .90      .95 
##     4820    35160   166002   276777   468740 
## 
## lowest :    283    590   2776   2937   4820, highest: 166002 200288 234432 276777 468740
## 
## 283 (144, 0.046), 590 (167, 0.053), 2776 (167, 0.053), 2937 (167, 0.053), 4820
## (155, 0.049), 5653 (167, 0.053), 16961 (167, 0.053), 19562 (167, 0.053), 23835
## (167, 0.053), 35160 (167, 0.053), 42148 (167, 0.053), 42629 (167, 0.053), 68375
## (167, 0.053), 86845 (167, 0.053), 166002 (167, 0.053), 200288 (167, 0.053),
## 234432 (167, 0.053), 276777 (167, 0.053), 468740 (167, 0.053)
## --------------------------------------------------------------------------------
## cinc 
##         n   missing  distinct      Info      Mean       Gmd       .05       .10 
##      3138         0        19     0.997  0.003813  0.005016 0.0001778 0.0001812 
##       .25       .50       .75       .90       .95 
## 0.0002933 0.0015489 0.0041365 0.0142069 0.0179105 
## 
## lowest : 0.0000341 0.0001778 0.0001812 0.0002811 0.0002933
## highest: 0.0041365 0.0081208 0.0128479 0.0142069 0.0179105
## 
## 0.0000341 (144, 0.046), 0.0001778 (167, 0.053), 0.0001812 (167, 0.053),
## 0.0002811 (167, 0.053), 0.0002933 (155, 0.049), 0.0003069 (167, 0.053),
## 0.0003944 (167, 0.053), 0.0005377 (167, 0.053), 0.0010607 (167, 0.053),
## 0.0015489 (167, 0.053), 0.0017053 (167, 0.053), 0.0020231 (167, 0.053),
## 0.0029283 (167, 0.053), 0.002971 (167, 0.053), 0.0041365 (167, 0.053),
## 0.0081208 (167, 0.053), 0.0128479 (167, 0.053), 0.0142069 (167, 0.053),
## 0.017910499 (167, 0.053)
## --------------------------------------------------------------------------------
## endocrine_deaths 
##        n  missing distinct     Info     Mean      Gmd 
##      668     2470        4    0.938    806.5    716.1 
##                               
## Value        99  329 1024 1774
## Frequency   167  167  167  167
## Proportion 0.25 0.25 0.25 0.25
## --------------------------------------------------------------------------------
## blood_pressure_deaths 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2804      334       17    0.997     3688     5281        4       14 
##      .25      .50      .75      .90      .95 
##      136      671     2922    10917    22129 
## 
## lowest :     4    14    35    40   136, highest:  2922  8019 10454 10917 22129
##                                                                             
## Value          4    14    35    40   136   140   154   253   671  1778  1956
## Frequency    167   144   167   167   167   167   155   167   167   167   167
## Proportion 0.060 0.051 0.060 0.060 0.060 0.060 0.055 0.060 0.060 0.060 0.060
##                                               
## Value       2310  2922  8019 10454 10917 22129
## Frequency    167   167   167   167   167   167
## Proportion 0.060 0.060 0.060 0.060 0.060 0.060
## --------------------------------------------------------------------------------
## respiratory_deaths 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2971      167       18    0.997    39161    53043      611      682 
##      .25      .50      .75      .90      .95 
##     2292    14106    39763   150275   201122 
## 
## lowest :    611    682    712   1046   2292, highest:  39763  82599  95055 150275 201122
##                                                                          
## Value         611    682    712   1046   2292   3852   3865   5382   6157
## Frequency     167    144    155    167    167    167    167    167    167
## Proportion  0.056  0.048  0.052  0.056  0.056  0.056  0.056  0.056  0.056
##                                                                          
## Value       14106  23052  28644  37626  39763  82599  95055 150275 201122
## Frequency     167    167    167    167    167    167    167    167    167
## Proportion  0.056  0.056  0.056  0.056  0.056  0.056  0.056  0.056  0.056
## --------------------------------------------------------------------------------
## govt_accountability 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2971      167       18    0.997    1.201    0.289     0.81     0.86 
##      .25      .50      .75      .90      .95 
##     0.99     1.20     1.40     1.60     1.61 
## 
## lowest : 0.81 0.86 0.88 0.92 0.99, highest: 1.40 1.42 1.57 1.60 1.61
##                                                                             
## Value       0.81  0.86  0.88  0.92  0.99  1.05  1.06  1.12  1.18  1.20  1.21
## Frequency    155   167   167   167   167   167   167   144   167   167   167
## Proportion 0.052 0.056 0.056 0.056 0.056 0.056 0.056 0.048 0.056 0.056 0.056
##                                                     
## Value       1.32  1.38  1.40  1.42  1.57  1.60  1.61
## Frequency    167   167   167   167   167   167   167
## Proportion 0.056 0.056 0.056 0.056 0.056 0.056 0.056
## --------------------------------------------------------------------------------
## political_stability 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2971      167       15    0.994   0.7044   0.4263     0.09     0.11 
##      .25      .50      .75      .90      .95 
##     0.41     0.75     0.92     1.29     1.37 
## 
## lowest : 0.09 0.11 0.25 0.31 0.41, highest: 0.92 1.03 1.14 1.29 1.37
##                                                                             
## Value       0.09  0.11  0.25  0.31  0.41  0.42  0.60  0.75  0.87  0.91  0.92
## Frequency    167   167   167   167   167   155   334   334   167   167   334
## Proportion 0.056 0.056 0.056 0.056 0.056 0.052 0.112 0.112 0.056 0.056 0.112
##                                   
## Value       1.03  1.14  1.29  1.37
## Frequency    167   167   144   167
## Proportion 0.056 0.056 0.048 0.056
## --------------------------------------------------------------------------------
## govt_effectiveness 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2971      167       18    0.997    1.215   0.4947     0.34     0.41 
##      .25      .50      .75      .90      .95 
##     1.00     1.19     1.48     1.85     1.98 
## 
## lowest : 0.34 0.41 0.71 0.97 1.00, highest: 1.48 1.62 1.78 1.85 1.98
##                                                                             
## Value       0.34  0.41  0.71  0.97  1.00  1.04  1.07  1.13  1.17  1.19  1.21
## Frequency    167   167   167   144   167   155   167   167   167   167   167
## Proportion 0.056 0.056 0.056 0.048 0.056 0.052 0.056 0.056 0.056 0.056 0.056
##                                                     
## Value       1.42  1.45  1.48  1.62  1.78  1.85  1.98
## Frequency    167   167   167   167   167   167   167
## Proportion 0.056 0.056 0.056 0.056 0.056 0.056 0.056
## --------------------------------------------------------------------------------
## regulatory_quality 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2971      167       18    0.997    1.242   0.5196     0.30     0.67 
##      .25      .50      .75      .90      .95 
##     0.89     1.19     1.60     1.79     2.02 
## 
## lowest : 0.30 0.67 0.69 0.81 0.89, highest: 1.60 1.75 1.76 1.79 2.02
##                                                                             
## Value       0.30  0.67  0.69  0.81  0.89  0.95  1.11  1.17  1.19  1.23  1.34
## Frequency    167   167   167   167   167   167   167   167   155   167   144
## Proportion 0.056 0.056 0.056 0.056 0.056 0.056 0.056 0.056 0.052 0.056 0.048
##                                                     
## Value       1.54  1.56  1.60  1.75  1.76  1.79  2.02
## Frequency    167   167   167   167   167   167   167
## Proportion 0.056 0.056 0.056 0.056 0.056 0.056 0.056
## --------------------------------------------------------------------------------
## rule_of_law 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2971      167       17    0.996    1.212   0.5919     0.15     0.25 
##      .25      .50      .75      .90      .95 
##     0.96     1.24     1.63     1.88     2.05 
## 
## lowest : 0.15 0.25 0.53 0.96 0.97, highest: 1.63 1.81 1.82 1.88 2.05
##                                                                             
## Value       0.15  0.25  0.53  0.96  0.97  1.05  1.06  1.14  1.24  1.37  1.44
## Frequency    167   167   167   322   167   144   167   167   167   167   167
## Proportion 0.056 0.056 0.056 0.108 0.056 0.048 0.056 0.056 0.056 0.056 0.056
##                                               
## Value       1.46  1.63  1.81  1.82  1.88  2.05
## Frequency    167   167   167   167   167   167
## Proportion 0.056 0.056 0.056 0.056 0.056 0.056
## --------------------------------------------------------------------------------
## control_of_corruption 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2971      167       17    0.996     1.12   0.8005    -0.07     0.24 
##      .25      .50      .75      .90      .95 
##     0.50     1.32     1.60     2.09     2.21 
## 
## lowest : -0.07  0.24  0.33  0.36  0.50, highest:  1.60  1.95  2.01  2.09  2.21
##                                                                             
## Value      -0.07  0.24  0.33  0.36  0.50  0.58  0.61  0.85  0.87  1.32  1.51
## Frequency    167   167   155   167   167   144   167   167   167   167   334
## Proportion 0.056 0.056 0.052 0.056 0.056 0.048 0.056 0.056 0.056 0.056 0.112
##                                               
## Value       1.55  1.60  1.95  2.01  2.09  2.21
## Frequency    167   167   167   167   167   167
## Proportion 0.056 0.056 0.056 0.056 0.056 0.056
## --------------------------------------------------------------------------------
## Fiscal_Response_Dummy 
##        n  missing distinct     Info     Mean      Gmd 
##     3138        0        3    0.155   0.1077   0.2039 
##                             
## Value          0     1     2
## Frequency   2966     6   166
## Proportion 0.945 0.002 0.053
## --------------------------------------------------------------------------------
## Monetary_Response_Dummy 
##        n  missing distinct     Info     Mean      Gmd 
##     3138        0        2    0.009 0.005736  0.01144 
##                       
## Value          0     2
## Frequency   3129     9
## Proportion 0.997 0.003
## --------------------------------------------------------------------------------
## Macroprudential_Dummy 
##        n  missing distinct     Info     Mean      Gmd 
##     3138        0        3    0.077  0.05099   0.0994 
##                             
## Value          0     1     2
## Frequency   3055     6    77
## Proportion 0.974 0.002 0.025
## --------------------------------------------------------------------------------
## Loan_or_Credit_Dummy 
##        n  missing distinct     Info     Mean      Gmd 
##     3138        0        3    0.058   0.0376  0.07381 
##                             
## Value          0     1     2
## Frequency   3076     6    56
## Proportion 0.980 0.002 0.018
## --------------------------------------------------------------------------------
## EU_Fiscal_Response_Dummy 
##        n  missing distinct     Info     Mean      Gmd 
##     3138        0        3    0.373   0.2779   0.4786 
##                             
## Value          0     1     2
## Frequency   2683    38   417
## Proportion 0.855 0.012 0.133
## --------------------------------------------------------------------------------
## EU_Macroprudential_Dummy 
##        n  missing distinct     Info     Mean      Gmd 
##     3138        0        2    0.373   0.2906    0.497 
##                       
## Value          0     2
## Frequency   2682   456
## Proportion 0.855 0.145
## --------------------------------------------------------------------------------
## EU_Loan_or_Credit_Dummy 
##        n  missing distinct     Info     Mean      Gmd 
##     3138        0        3    0.218   0.1453   0.2695 
##                             
## Value          0     1     2
## Frequency   2891    38   209
## Proportion 0.921 0.012 0.067
## --------------------------------------------------------------------------------
## ECB_Announcement 
##        n  missing distinct     Info     Mean      Gmd 
##     3138        0        2    0.054  0.03633  0.07136 
##                       
## Value          0     2
## Frequency   3081    57
## Proportion 0.982 0.018
## --------------------------------------------------------------------------------
## Fed_Announcement 
##        n  missing distinct     Info     Mean      Gmd 
##     3138        0        2    0.186   0.1326   0.2476 
##                       
## Value          0     2
## Frequency   2930   208
## Proportion 0.934 0.066
## --------------------------------------------------------------------------------
## Population (Millions) 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2827      311       17    0.997    20.12    24.71     1.19     1.32 
##      .25      .50      .75      .90      .95 
##     2.79     8.85    17.23    66.99    82.93 
## 
## lowest :  1.19  1.32  1.93  2.07  2.79, highest: 17.23 46.72 60.43 66.99 82.93
##                                                                             
## Value       1.19  1.32  1.93  2.07  2.79  4.85  5.45  5.52  8.85 10.28 10.73
## Frequency    167   167   155   167   167   167   167   167   167   167   167
## Proportion 0.059 0.059 0.055 0.059 0.059 0.059 0.059 0.059 0.059 0.059 0.059
##                                               
## Value      11.42 17.23 46.72 60.43 66.99 82.93
## Frequency    167   167   167   167   167   167
## Proportion 0.059 0.059 0.059 0.059 0.059 0.059
## --------------------------------------------------------------------------------
## New_Deaths_Per_Million 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2430      708      619    0.859    1.535    2.558    0.000    0.000 
##      .25      .50      .75      .90      .95 
##    0.000    0.000    1.153    4.547    8.660 
## 
## lowest :  0.00000000  0.01205836  0.01492760  0.01654807  0.02140411
## highest: 28.63397548 35.28896673 36.51488616 43.43257443 45.36082474
## --------------------------------------------------------------------------------
## Total_Deaths_Per_Million 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2430      708     1161    0.957    88.32    141.3    0.000    0.000 
##      .25      .50      .75      .90      .95 
##    0.000    7.378   63.251  348.825  536.233 
## 
## lowest :   0.00000000   0.01492760   0.01654807   0.02140411   0.02411672
## highest: 843.16987741 843.78283713 844.65849387 845.00875657 845.44658494
## --------------------------------------------------------------------------------
## 
## Variables with all observations missing:
## 
## [1] M1_Wildcard

# n, nmiss, unique, mean, 5, 10, 25, 50, 75, 90, 95th percentiles

# Next, I generate shareable outputs, using the summarytools package. Set st_options(use.x11 = FALSE).
saved_x11_option <- st_options("use.x11")
st_options(use.x11 = TRUE)
dfSummary(Oxford_V1, plain.ascii = FALSE, style = "grid", 
          graph.magnif = 0.75, valid.col = FALSE, tmp.img.dir = "/tmp")

## ### Data Frame Summary  
## #### Oxford_V1  
## **Dimensions:** 3138 x 79  
## **Duplicates:** 0  
## 
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | No | Variable                               | Stats / Values                           | Freqs (% of Valid)   | Graph                | Missing  |
## +====+========================================+==========================================+======================+======================+==========+
## | 1  | COUNTRY\                               | 1\. Austria\                             | 167 ( 5.3%)\         | ![](/tmp/ds0001.png) | 0\       |
## |    | [character]                            | 2\. Belgium\                             | 167 ( 5.3%)\         |                      | (0%)     |
## |    |                                        | 3\. Cyprus\                              | 167 ( 5.3%)\         |                      |          |
## |    |                                        | 4\. Estonia\                             | 167 ( 5.3%)\         |                      |          |
## |    |                                        | 5\. Finland\                             | 167 ( 5.3%)\         |                      |          |
## |    |                                        | 6\. France\                              | 167 ( 5.3%)\         |                      |          |
## |    |                                        | 7\. Germany\                             | 167 ( 5.3%)\         |                      |          |
## |    |                                        | 8\. Greece\                              | 167 ( 5.3%)\         |                      |          |
## |    |                                        | 9\. Ireland\                             | 167 ( 5.3%)\         |                      |          |
## |    |                                        | 10\. Italy\                              | 167 ( 5.3%)\         |                      |          |
## |    |                                        | [ 9 others ]                             | 1468 (46.8%)         |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 2  | Date\                                  | min : 2020-01-01\                        | 167 distinct values  | ![](/tmp/ds0002.png) | 0\       |
## |    | [POSIXct, POSIXt]                      | med : 2020-03-25\                        |                      |                      | (0%)     |
## |    |                                        | max : 2020-06-15\                        |                      |                      |          |
## |    |                                        | range : 5m 14d                           |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 3  | Total_Cases_Country\                   | Mean (sd) : 25252.6 (57680.9)\           | 1696 distinct values | ![](/tmp/ds0003.png) | 421\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (13.42%) |
## |    |                                        | 0 < 1030 < 243928\                       |                      |                      |          |
## |    |                                        | IQR (CV) : 13978 (2.3)                   |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 4  | Total_Deceased_Country\                | Mean (sd) : 2646 (7040.7)\               | 870 distinct values  | ![](/tmp/ds0004.png) | 421\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (13.42%) |
## |    |                                        | 0 < 17 < 34345\                          |                      |                      |          |
## |    |                                        | IQR (CV) : 444 (2.7)                     |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 5  | New_Confirmed_Country\                 | Mean (sd) : 401.1 (1217.2)\              | 722 distinct values  | ![](/tmp/ds0005.png) | 421\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (13.42%) |
## |    |                                        | 0 < 12 < 26849\                          |                      |                      |          |
## |    |                                        | IQR (CV) : 186 (3)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 6  | New_Total_Deceased_Country\            | Mean (sd) : 44.5 (139.9)\                | 328 distinct values  | ![](/tmp/ds0006.png) | 421\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (13.42%) |
## |    |                                        | 0 < 0 < 1438\                            |                      |                      |          |
## |    |                                        | IQR (CV) : 9 (3.1)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 7  | Population\                            | Mean (sd) : 17816441 (24874857.2)\       | 19 distinct values   | ![](/tmp/ds0007.png) | 421\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (13.42%) |
## |    |                                        | 441539 < 5540718 < 83783945\             |                      |                      |          |
## |    |                                        | IQR (CV) : 15248671 (1.4)                |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 8  | Total_Mortality_Rate_Per_Capita\       | Mean (sd) : 0 (0)\                       | 1213 distinct values | ![](/tmp/ds0008.png) | 421\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (13.42%) |
## |    |                                        | 0 < 0 < 0\                               |                      |                      |          |
## |    |                                        | IQR (CV) : 0 (2)                         |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 9  | New_Mortality_Rate_Per_Capita\         | Mean (sd) : 0 (0)\                       | 629 distinct values  | ![](/tmp/ds0009.png) | 421\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (13.42%) |
## |    |                                        | 0 < 0 < 0\                               |                      |                      |          |
## |    |                                        | IQR (CV) : 0 (2.5)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 10 | Total_Cases_Country_Per_Capita\        | Mean (sd) : 0 (0)\                       | 1915 distinct values | ![](/tmp/ds0010.png) | 421\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (13.42%) |
## |    |                                        | 0 < 0 < 0\                               |                      |                      |          |
## |    |                                        | IQR (CV) : 0 (1.4)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 11 | rolling_average_confirmed\             | Mean (sd) : 398.8 (1092.8)\              | 1176 distinct values | ![](/tmp/ds0011.png) | 421\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (13.42%) |
## |    |                                        | 0 < 12.7 < 8387\                         |                      |                      |          |
## |    |                                        | IQR (CV) : 193.4 (2.7)                   |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 12 | rolling_average_deceased\              | Mean (sd) : 44.3 (133.7)\                | 612 distinct values  | ![](/tmp/ds0012.png) | 421\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (13.42%) |
## |    |                                        | 0 < 0.4 < 975.7\                         |                      |                      |          |
## |    |                                        | IQR (CV) : 10 (3)                        |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 13 | total_rolling_average_mortality\       | Mean (sd) : 0 (0)\                       | 1618 distinct values | ![](/tmp/ds0013.png) | 421\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (13.42%) |
## |    |                                        | 0 < 0 < 0\                               |                      |                      |          |
## |    |                                        | IQR (CV) : 0 (2)                         |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 14 | new_rolling_average_mortality\         | Mean (sd) : 0 (0)\                       | 974 distinct values  | ![](/tmp/ds0014.png) | 421\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (13.42%) |
## |    |                                        | 0 < 0 < 0\                               |                      |                      |          |
## |    |                                        | IQR (CV) : 0 (2.3)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 15 | C1_School.closing\                     | Mean (sd) : 1.5 (1.4)\                   | 0 : 1226 (42.8%)\    | ![](/tmp/ds0015.png) | 273\     |
## |    | [numeric]                              | min < med < max:\                        | 1 :   67 ( 2.3%)\    |                      | (8.7%)   |
## |    |                                        | 0 < 2 < 3\                               | 2 :  534 (18.6%)\    |                      |          |
## |    |                                        | IQR (CV) : 3 (0.9)                       | 3 : 1038 (36.2%)     |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 16 | C2_Workplace.closing\                  | Mean (sd) : 1.2 (1.2)\                   | 0 : 1273 (46.2%)\    | ![](/tmp/ds0016.png) | 384\     |
## |    | [numeric]                              | min < med < max:\                        | 1 :  183 ( 6.6%)\    |                      | (12.24%) |
## |    |                                        | 0 < 1 < 3\                               | 2 :  671 (24.4%)\    |                      |          |
## |    |                                        | IQR (CV) : 2 (1)                         | 3 :  627 (22.8%)     |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 17 | C3_Cancel.public.events\               | Mean (sd) : 1.2 (1)\                     | 0 : 1172 (40.9%)\    | ![](/tmp/ds0017.png) | 273\     |
## |    | [numeric]                              | min < med < max:\                        | 1 :   65 ( 2.3%)\    |                      | (8.7%)   |
## |    |                                        | 0 < 2 < 2\                               | 2 : 1628 (56.8%)     |                      |          |
## |    |                                        | IQR (CV) : 2 (0.8)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 18 | C4_Restrictions.on.gatherings\         | Mean (sd) : 1.9 (1.8)\                   | 0 : 1323 (46.2%)\    | ![](/tmp/ds0018.png) | 273\     |
## |    | [numeric]                              | min < med < max:\                        | 1 :   44 ( 1.5%)\    |                      | (8.7%)   |
## |    |                                        | 0 < 3 < 4\                               | 2 :   48 ( 1.7%)\    |                      |          |
## |    |                                        | IQR (CV) : 4 (1)                         | 3 :  493 (17.2%)\    |                      |          |
## |    |                                        |                                          | 4 :  957 (33.4%)     |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 19 | C5_Close.public.transport\             | Mean (sd) : 0.4 (0.6)\                   | 0 : 1773 (64.0%)\    | ![](/tmp/ds0019.png) | 367\     |
## |    | [numeric]                              | min < med < max:\                        | 1 :  771 (27.8%)\    |                      | (11.7%)  |
## |    |                                        | 0 < 0 < 2\                               | 2 :  227 ( 8.2%)     |                      |          |
## |    |                                        | IQR (CV) : 1 (1.4)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 20 | C6_Stay.at.home.requirements\          | Mean (sd) : 0.8 (0.9)\                   | 0 : 1433 (51.7%)\    | ![](/tmp/ds0020.png) | 367\     |
## |    | [numeric]                              | min < med < max:\                        | 1 :  602 (21.7%)\    |                      | (11.7%)  |
## |    |                                        | 0 < 0 < 3\                               | 2 :  715 (25.8%)\    |                      |          |
## |    |                                        | IQR (CV) : 2 (1.1)                       | 3 :   21 ( 0.8%)     |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 21 | C7_Restrictions.on.internal.movement\  | Mean (sd) : 0.8 (0.8)\                   | 0 : 1421 (51.3%)\    | ![](/tmp/ds0021.png) | 367\     |
## |    | [numeric]                              | min < med < max:\                        | 1 :  621 (22.4%)\    |                      | (11.7%)  |
## |    |                                        | 0 < 0 < 2\                               | 2 :  729 (26.3%)     |                      |          |
## |    |                                        | IQR (CV) : 2 (1.1)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 22 | C8_International.travel.controls\      | Mean (sd) : 1.9 (1.7)\                   | 0 : 1177 (41.2%)\    | ![](/tmp/ds0022.png) | 283\     |
## |    | [numeric]                              | min < med < max:\                        | 1 :   53 ( 1.9%)\    |                      | (9.02%)  |
## |    |                                        | 0 < 2 < 4\                               | 2 :  220 ( 7.7%)\    |                      |          |
## |    |                                        | IQR (CV) : 3 (0.9)                       | 3 :  764 (26.8%)\    |                      |          |
## |    |                                        |                                          | 4 :  641 (22.4%)     |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 23 | E1_Income.support\                     | Mean (sd) : 0.9 (0.9)\                   | 0 : 1417 (51.0%)\    | ![](/tmp/ds0023.png) | 362\     |
## |    | [numeric]                              | min < med < max:\                        | 1 :  354 (12.8%)\    |                      | (11.54%) |
## |    |                                        | 0 < 0 < 2\                               | 2 : 1005 (36.2%)     |                      |          |
## |    |                                        | IQR (CV) : 2 (1.1)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 24 | E2_Debt.contract.relief\               | Mean (sd) : 0.8 (0.9)\                   | 0 : 1377 (49.8%)\    | ![](/tmp/ds0024.png) | 375\     |
## |    | [numeric]                              | min < med < max:\                        | 1 :  460 (16.7%)\    |                      | (11.95%) |
## |    |                                        | 0 < 1 < 2\                               | 2 :  926 (33.5%)     |                      |          |
## |    |                                        | IQR (CV) : 2 (1.1)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 25 | E3_Fiscal.measures\                    | Mean (sd) : 698571077.7 (17022051061.6)\ | 60 distinct values   | ![](/tmp/ds0025.png) | 380\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (12.11%) |
## |    |                                        | 0 < 0 < 709276000000\                    |                      |                      |          |
## |    |                                        | IQR (CV) : 0 (24.4)                      |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 26 | H1_Public.information.campaigns\       | Mean (sd) : 1.4 (0.9)\                   | 0 :  739 (26.8%)\    | ![](/tmp/ds0026.png) | 385\     |
## |    | [numeric]                              | min < med < max:\                        | 1 :  117 ( 4.2%)\    |                      | (12.27%) |
## |    |                                        | 0 < 2 < 2\                               | 2 : 1897 (68.9%)     |                      |          |
## |    |                                        | IQR (CV) : 2 (0.6)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 27 | H2_Testing.policy\                     | Mean (sd) : 1.1 (0.9)\                   | 0 :  789 (28.7%)\    | ![](/tmp/ds0027.png) | 385\     |
## |    | [numeric]                              | min < med < max:\                        | 1 : 1056 (38.4%)\    |                      | (12.27%) |
## |    |                                        | 0 < 1 < 3\                               | 2 :  688 (25.0%)\    |                      |          |
## |    |                                        | IQR (CV) : 2 (0.8)                       | 3 :  220 ( 8.0%)     |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 28 | H3_Contact.tracing\                    | Mean (sd) : 0.9 (0.8)\                   | 0 : 1063 (38.6%)\    | ![](/tmp/ds0028.png) | 385\     |
## |    | [numeric]                              | min < med < max:\                        | 1 :  788 (28.6%)\    |                      | (12.27%) |
## |    |                                        | 0 < 1 < 2\                               | 2 :  902 (32.8%)     |                      |          |
## |    |                                        | IQR (CV) : 2 (0.9)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 29 | H4_Emergency.investment.in.healthcare\ | Mean (sd) : 31126357.6 (1211665194.9)\   | 24 distinct values   | ![](/tmp/ds0029.png) | 385\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (12.27%) |
## |    |                                        | 0 < 0 < 62997723800\                     |                      |                      |          |
## |    |                                        | IQR (CV) : 0 (38.9)                      |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 30 | H5_Investment.in.vaccines\             | Mean (sd) : 811940.1 (21591049.7)\       | 18 distinct values   | ![](/tmp/ds0030.png) | 389\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (12.4%)  |
## |    |                                        | 0 < 0 < 812000000\                       |                      |                      |          |
## |    |                                        | IQR (CV) : 0 (26.6)                      |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 31 | M1_Wildcard\                           | All NA's                                 |                      |                      | 3138\    |
## |    | [logical]                              |                                          |                      |                      | (100%)   |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 32 | StringencyIndex\                       | Mean (sd) : 43.1 (35.5)\                 | 100 distinct values  | ![](/tmp/ds0031.png) | 377\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (12.01%) |
## |    |                                        | 0 < 50 < 94.4\                           |                      |                      |          |
## |    |                                        | IQR (CV) : 77.8 (0.8)                    |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 33 | Oxford_Cases\                          | Mean (sd) : 25725 (57002.8)\             | 1646 distinct values | ![](/tmp/ds0032.png) | 493\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (15.71%) |
## |    |                                        | 0 < 1188 < 243928\                       |                      |                      |          |
## |    |                                        | IQR (CV) : 15650 (2.2)                   |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 34 | Oxford_Deaths\                         | Mean (sd) : 2796.1 (7240.9)\             | 880 distinct values  | ![](/tmp/ds0033.png) | 493\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (15.71%) |
## |    |                                        | 0 < 22 < 34345\                          |                      |                      |          |
## |    |                                        | IQR (CV) : 598 (2.6)                     |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 35 | GovernmentResponseIndex\               | Mean (sd) : 42.5 (33.4)\                 | 136 distinct values  | ![](/tmp/ds0034.png) | 385\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (12.27%) |
## |    |                                        | 0 < 53.9 < 96.2\                         |                      |                      |          |
## |    |                                        | IQR (CV) : 71.8 (0.8)                    |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 36 | ContainmentHealthIndex\                | Mean (sd) : 42.9 (33)\                   | 117 distinct values  | ![](/tmp/ds0035.png) | 385\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (12.27%) |
## |    |                                        | 0 < 53.8 < 95.5\                         |                      |                      |          |
## |    |                                        | IQR (CV) : 70.5 (0.8)                    |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 37 | Latitude\                              | Mean (sd) : 47.9 (7.4)\                  | 19 distinct values   | ![](/tmp/ds0036.png) | 10\      |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (0.32%)  |
## |    |                                        | 35.1 < 48.7 < 61.9\                      |                      |                      |          |
## |    |                                        | IQR (CV) : 12.9 (0.2)                    |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 38 | Longitude\                             | Mean (sd) : 12.5 (11.7)\                 | 19 distinct values   | ![](/tmp/ds0037.png) | 10\      |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (0.32%)  |
## |    |                                        | -8.2 < 14.4 < 33.4\                      |                      |                      |          |
## |    |                                        | IQR (CV) : 19.4 (0.9)                    |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 39 | prop65\                                | Mean (sd) : 19.1 (2.7)\                  | 19 distinct values   | ![](/tmp/ds0038.png) | 10\      |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (0.32%)  |
## |    |                                        | 13.7 < 19.6 < 22.8\                      |                      |                      |          |
## |    |                                        | IQR (CV) : 2.7 (0.1)                     |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 40 | propurban\                             | Mean (sd) : 74.3 (13)\                   | 19 distinct values   | ![](/tmp/ds0039.png) | 10\      |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (0.32%)  |
## |    |                                        | 53.7 < 70.4 < 98\                        |                      |                      |          |
## |    |                                        | IQR (CV) : 20.2 (0.2)                    |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 41 | popdensity\                            | Mean (sd) : 215.7 (318.6)\               | 18 distinct values   | ![](/tmp/ds0040.png) | 177\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (5.64%)  |
## |    |                                        | 18.2 < 107.2 < 1511\                     |                      |                      |          |
## |    |                                        | IQR (CV) : 166.9 (1.5)                   |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 42 | driving\                               | Mean (sd) : 82.9 (34.8)\                 | 2276 distinct values | ![](/tmp/ds0041.png) | 571\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (18.2%)  |
## |    |                                        | 10.9 < 90.9 < 205.6\                     |                      |                      |          |
## |    |                                        | IQR (CV) : 53.9 (0.4)                    |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 43 | walking\                               | Mean (sd) : 82.1 (42.3)\                 | 2318 distinct values | ![](/tmp/ds0042.png) | 571\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (18.2%)  |
## |    |                                        | 5.8 < 82.6 < 362.5\                      |                      |                      |          |
## |    |                                        | IQR (CV) : 63.5 (0.5)                    |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 44 | transit\                               | Mean (sd) : 65.4 (40.7)\                 | 1511 distinct values | ![](/tmp/ds0043.png) | 1477\    |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (47.07%) |
## |    |                                        | 7 < 55.8 < 160.6\                        |                      |                      |          |
## |    |                                        | IQR (CV) : 75.4 (0.6)                    |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 45 | arrivals\                              | Mean (sd) : 23113869.2 (27424808.3)\     | 18 distinct values   | ![](/tmp/ds0044.png) | 167\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (5.32%)  |
## |    |                                        | 1018000 < 10926000 < 89322000\           |                      |                      |          |
## |    |                                        | IQR (CV) : 27592000 (1.2)                |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 46 | departures\                            | Mean (sd) : 15532851.5 (24590299.4)\     | 18 distinct values   | ![](/tmp/ds0045.png) | 167\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (5.32%)  |
## |    |                                        | 667000 < 8643000 < 108542000\            |                      |                      |          |
## |    |                                        | IQR (CV) : 17047000 (1.6)                |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 47 | vul_emp\                               | Mean (sd) : 10.5 (4.6)\                  | 18 distinct values   | ![](/tmp/ds0046.png) | 167\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (5.32%)  |
## |    |                                        | 5.6 < 10.2 < 25.8\                       |                      |                      |          |
## |    |                                        | IQR (CV) : 3.8 (0.4)                     |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 48 | GNI\                                   | Mean (sd) : 36530.7 (15647.8)\           | 18 distinct values   | ![](/tmp/ds0047.png) | 167\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (5.32%)  |
## |    |                                        | 16510 < 33730 < 70870\                   |                      |                      |          |
## |    |                                        | IQR (CV) : 26290 (0.4)                   |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 49 | health_exp\                            | Mean (sd) : 3183.3 (1597.3)\             | 18 distinct values   | ![](/tmp/ds0048.png) | 167\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (5.32%)  |
## |    |                                        | 930.4 < 2840.1 < 5782.6\                 |                      |                      |          |
## |    |                                        | IQR (CV) : 3179.7 (0.5)                  |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 50 | pollution\                             | Mean (sd) : 12 (3.3)\                    | 18 distinct values   | ![](/tmp/ds0049.png) | 167\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (5.32%)  |
## |    |                                        | 5.9 < 12 < 17.3\                         |                      |                      |          |
## |    |                                        | IQR (CV) : 4.2 (0.3)                     |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 51 | EUI_democracy\                         | Mean (sd) : 8.1 (0.6)\                   | 18 distinct values   | ![](/tmp/ds0050.png) | 0\       |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (0%)     |
## |    |                                        | 7.2 < 8 < 9.2\                           |                      |                      |          |
## |    |                                        | IQR (CV) : 1.2 (0.1)                     |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 52 | freedom_house\                         | Mean (sd) : 93.3 (3.6)\                  | 12 distinct values   | ![](/tmp/ds0051.png) | 0\       |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (0%)     |
## |    |                                        | 88 < 94 < 100\                           |                      |                      |          |
## |    |                                        | IQR (CV) : 6 (0)                         |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 53 | cellular_sub\                          | Mean (sd) : 125.3 (15.7)\                | 19 distinct values   | ![](/tmp/ds0052.png) | 0\       |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (0%)     |
## |    |                                        | 99.7 < 123.7 < 163.9\                    |                      |                      |          |
## |    |                                        | IQR (CV) : 21.8 (0.1)                    |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 54 | milex\                                 | Mean (sd) : 8843960.2 (14276288.6)\      | 19 distinct values   | ![](/tmp/ds0053.png) | 0\       |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (0%)     |
## |    |                                        | 50000 < 2640000 < 50283000\              |                      |                      |          |
## |    |                                        | IQR (CV) : 9939000 (1.6)                 |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 55 | milper\                                | Mean (sd) : 63.7 (82)\                   | 19 distinct values   | ![](/tmp/ds0054.png) | 0\       |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (0%)     |
## |    |                                        | 1 < 22 < 251\                            |                      |                      |          |
## |    |                                        | IQR (CV) : 135 (1.3)                     |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 56 | irst\                                  | Mean (sd) : 7222.7 (10852.9)\            | 15 distinct values   | ![](/tmp/ds0055.png) | 0\       |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (0%)     |
## |    |                                        | 0 < 2208 < 42661\                        |                      |                      |          |
## |    |                                        | IQR (CV) : 7421 (1.5)                    |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 57 | pec\                                   | Mean (sd) : 90388 (122913.8)\            | 19 distinct values   | ![](/tmp/ds0056.png) | 0\       |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (0%)     |
## |    |                                        | 283 < 35160 < 468740\                    |                      |                      |          |
## |    |                                        | IQR (CV) : 161182 (1.4)                  |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 58 | cinc\                                  | Mean (sd) : 0 (0)\                       | 19 distinct values   | ![](/tmp/ds0057.png) | 0\       |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (0%)     |
## |    |                                        | 0 < 0 < 0\                               |                      |                      |          |
## |    |                                        | IQR (CV) : 0 (1.4)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 59 | endocrine_deaths\                      | Mean (sd) : 806.5 (654.7)\               | 99   : 167 (25.0%)\  | ![](/tmp/ds0058.png) | 2470\    |
## |    | [numeric]                              | min < med < max:\                        | 329  : 167 (25.0%)\  |                      | (78.71%) |
## |    |                                        | 99 < 676.5 < 1774\                       | 1024 : 167 (25.0%)\  |                      |          |
## |    |                                        | IQR (CV) : 940 (0.8)                     | 1774 : 167 (25.0%)   |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 60 | blood_pressure_deaths\                 | Mean (sd) : 3687.8 (5855.9)\             | 17 distinct values   | ![](/tmp/ds0059.png) | 334\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (10.64%) |
## |    |                                        | 4 < 671 < 22129\                         |                      |                      |          |
## |    |                                        | IQR (CV) : 2786 (1.6)                    |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 61 | respiratory_deaths\                    | Mean (sd) : 39161.3 (56244)\             | 18 distinct values   | ![](/tmp/ds0060.png) | 167\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (5.32%)  |
## |    |                                        | 611 < 14106 < 201122\                    |                      |                      |          |
## |    |                                        | IQR (CV) : 37471 (1.4)                   |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 62 | govt_accountability\                   | Mean (sd) : 1.2 (0.3)\                   | 18 distinct values   | ![](/tmp/ds0061.png) | 167\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (5.32%)  |
## |    |                                        | 0.8 < 1.2 < 1.6\                         |                      |                      |          |
## |    |                                        | IQR (CV) : 0.4 (0.2)                     |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 63 | political_stability\                   | Mean (sd) : 0.7 (0.4)\                   | 15 distinct values   | ![](/tmp/ds0062.png) | 167\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (5.32%)  |
## |    |                                        | 0.1 < 0.8 < 1.4\                         |                      |                      |          |
## |    |                                        | IQR (CV) : 0.5 (0.5)                     |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 64 | govt_effectiveness\                    | Mean (sd) : 1.2 (0.4)\                   | 18 distinct values   | ![](/tmp/ds0063.png) | 167\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (5.32%)  |
## |    |                                        | 0.3 < 1.2 < 2\                           |                      |                      |          |
## |    |                                        | IQR (CV) : 0.5 (0.4)                     |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 65 | regulatory_quality\                    | Mean (sd) : 1.2 (0.5)\                   | 18 distinct values   | ![](/tmp/ds0064.png) | 167\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (5.32%)  |
## |    |                                        | 0.3 < 1.2 < 2\                           |                      |                      |          |
## |    |                                        | IQR (CV) : 0.7 (0.4)                     |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 66 | rule_of_law\                           | Mean (sd) : 1.2 (0.5)\                   | 17 distinct values   | ![](/tmp/ds0065.png) | 167\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (5.32%)  |
## |    |                                        | 0.2 < 1.2 < 2\                           |                      |                      |          |
## |    |                                        | IQR (CV) : 0.7 (0.4)                     |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 67 | control_of_corruption\                 | Mean (sd) : 1.1 (0.7)\                   | 17 distinct values   | ![](/tmp/ds0066.png) | 167\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (5.32%)  |
## |    |                                        | -0.1 < 1.3 < 2.2\                        |                      |                      |          |
## |    |                                        | IQR (CV) : 1.1 (0.6)                     |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 68 | Fiscal_Response_Dummy\                 | Mean (sd) : 0.1 (0.4)\                   | 0 : 2966 (94.5%)\    | ![](/tmp/ds0067.png) | 0\       |
## |    | [numeric]                              | min < med < max:\                        | 1 :    6 ( 0.2%)\    |                      | (0%)     |
## |    |                                        | 0 < 0 < 2\                               | 2 :  166 ( 5.3%)     |                      |          |
## |    |                                        | IQR (CV) : 0 (4.2)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 69 | Monetary_Response_Dummy\               | Min  : 0\                                | 0 : 3129 (99.7%)\    | ![](/tmp/ds0068.png) | 0\       |
## |    | [numeric]                              | Mean : 0\                                | 2 :    9 ( 0.3%)     |                      | (0%)     |
## |    |                                        | Max  : 2                                 |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 70 | Macroprudential_Dummy\                 | Mean (sd) : 0.1 (0.3)\                   | 0 : 3055 (97.4%)\    | ![](/tmp/ds0069.png) | 0\       |
## |    | [numeric]                              | min < med < max:\                        | 1 :    6 ( 0.2%)\    |                      | (0%)     |
## |    |                                        | 0 < 0 < 2\                               | 2 :   77 ( 2.5%)     |                      |          |
## |    |                                        | IQR (CV) : 0 (6.1)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 71 | Loan_or_Credit_Dummy\                  | Mean (sd) : 0 (0.3)\                     | 0 : 3076 (98.0%)\    | ![](/tmp/ds0070.png) | 0\       |
## |    | [numeric]                              | min < med < max:\                        | 1 :    6 ( 0.2%)\    |                      | (0%)     |
## |    |                                        | 0 < 0 < 2\                               | 2 :   56 ( 1.8%)     |                      |          |
## |    |                                        | IQR (CV) : 0 (7.1)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 72 | EU_Fiscal_Response_Dummy\              | Mean (sd) : 0.3 (0.7)\                   | 0 : 2683 (85.5%)\    | ![](/tmp/ds0071.png) | 0\       |
## |    | [numeric]                              | min < med < max:\                        | 1 :   38 ( 1.2%)\    |                      | (0%)     |
## |    |                                        | 0 < 0 < 2\                               | 2 :  417 (13.3%)     |                      |          |
## |    |                                        | IQR (CV) : 0 (2.5)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 73 | EU_Macroprudential_Dummy\              | Min  : 0\                                | 0 : 2682 (85.5%)\    | ![](/tmp/ds0072.png) | 0\       |
## |    | [numeric]                              | Mean : 0.3\                              | 2 :  456 (14.5%)     |                      | (0%)     |
## |    |                                        | Max  : 2                                 |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 74 | EU_Loan_or_Credit_Dummy\               | Mean (sd) : 0.1 (0.5)\                   | 0 : 2891 (92.1%)\    | ![](/tmp/ds0073.png) | 0\       |
## |    | [numeric]                              | min < med < max:\                        | 1 :   38 ( 1.2%)\    |                      | (0%)     |
## |    |                                        | 0 < 0 < 2\                               | 2 :  209 ( 6.7%)     |                      |          |
## |    |                                        | IQR (CV) : 0 (3.5)                       |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 75 | ECB_Announcement\                      | Min  : 0\                                | 0 : 3081 (98.2%)\    | ![](/tmp/ds0074.png) | 0\       |
## |    | [numeric]                              | Mean : 0\                                | 2 :   57 ( 1.8%)     |                      | (0%)     |
## |    |                                        | Max  : 2                                 |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 76 | Fed_Announcement\                      | Min  : 0\                                | 0 : 2930 (93.4%)\    | ![](/tmp/ds0075.png) | 0\       |
## |    | [numeric]                              | Mean : 0.1\                              | 2 :  208 ( 6.6%)     |                      | (0%)     |
## |    |                                        | Max  : 2                                 |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 77 | Population (Millions)\                 | Mean (sd) : 20.1 (25.7)\                 | 17 distinct values   | ![](/tmp/ds0076.png) | 311\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (9.91%)  |
## |    |                                        | 1.2 < 8.8 < 82.9\                        |                      |                      |          |
## |    |                                        | IQR (CV) : 14.4 (1.3)                    |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 78 | New_Deaths_Per_Million\                | Mean (sd) : 1.5 (3.8)\                   | 619 distinct values  | ![](/tmp/ds0077.png) | 708\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (22.56%) |
## |    |                                        | 0 < 0 < 45.4\                            |                      |                      |          |
## |    |                                        | IQR (CV) : 1.2 (2.5)                     |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 79 | Total_Deaths_Per_Million\              | Mean (sd) : 88.3 (174.1)\                | 1159 distinct values | ![](/tmp/ds0078.png) | 708\     |
## |    | [numeric]                              | min < med < max:\                        |                      |                      | (22.56%) |
## |    |                                        | 0 < 7.4 < 845.4\                         |                      |                      |          |
## |    |                                        | IQR (CV) : 63.3 (2)                      |                      |                      |          |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+

view(dfSummary(Oxford_V1))

## Switching method to 'browser'

## Output file written: /var/folders/1q/n6774yp14lnfhl5hkdh45ndm0000gn/T//Rtmpf8IEMn/filed57c1daf353a.html

# For the complete output, please open the summary in the html link.

# Now, I generate a correlation heat map, using a subset of variables from the final dataset.
corrmapvarlist <- c("total_rolling_average_mortality", "Total_Cases_Country", "Total_Deceased_Country", "New_Confirmed_Country", "New_Total_Deceased_Country", "Population", "rolling_average_confirmed", "rolling_average_deceased", "C1_School.closing", "C2_Workplace.closing", "C3_Cancel.public.events", "C4_Restrictions.on.gatherings", "C5_Close.public.transport", "C6_Stay.at.home.requirements", "C7_Restrictions.on.internal.movement", "C8_International.travel.controls", "E1_Income.support", "E2_Debt.contract.relief", "E3_Fiscal.measures", "H1_Public.information.campaigns", "H2_Testing.policy", "H3_Contact.tracing", "H4_Emergency.investment.in.healthcare", "H5_Investment.in.vaccines", "StringencyIndex", "prop65", "propurban", "driving", "walking")
corrmapvars <- Oxford_V1[corrmapvarlist]

# Here, I rename the variables to make them easier to read on the map.
corrmapvars <- corrmapvars %>% dplyr::rename(mortality_ra = total_rolling_average_mortality)
corrmapvars <- corrmapvars %>% dplyr::rename(confirmed_ra = rolling_average_confirmed)
corrmapvars <- corrmapvars %>% dplyr::rename(deceased_ra = rolling_average_deceased)
corrmapvars <- corrmapvars %>% dplyr::rename(cases = Total_Cases_Country)
corrmapvars <- corrmapvars %>% dplyr::rename(deaths = Total_Deceased_Country)
corrmapvars <- corrmapvars %>% dplyr::rename(new_cases = New_Confirmed_Country)
corrmapvars <- corrmapvars %>% dplyr::rename(new_deaths = New_Total_Deceased_Country)
corrmapvars <- corrmapvars %>% dplyr::rename(school_closing = C1_School.closing)
corrmapvars <- corrmapvars %>% dplyr::rename(work_closing = C2_Workplace.closing)
corrmapvars <- corrmapvars %>% dplyr::rename(public_event_closing = C3_Cancel.public.events)
corrmapvars <- corrmapvars %>% dplyr::rename(gathering_restrictions = C4_Restrictions.on.gatherings)
corrmapvars <- corrmapvars %>% dplyr::rename(transport_closing = C5_Close.public.transport)
corrmapvars <- corrmapvars %>% dplyr::rename(lockdown = C6_Stay.at.home.requirements)
corrmapvars <- corrmapvars %>% dplyr::rename(internal_restrictions = C7_Restrictions.on.internal.movement)
corrmapvars <- corrmapvars %>% dplyr::rename(travel_restrictions = C8_International.travel.controls)
corrmapvars <- corrmapvars %>% dplyr::rename(income = E1_Income.support)
corrmapvars <- corrmapvars %>% dplyr::rename(debt = E2_Debt.contract.relief)
corrmapvars <- corrmapvars %>% dplyr::rename(fiscal = E3_Fiscal.measures)
corrmapvars <- corrmapvars %>% dplyr::rename(campaigns = H1_Public.information.campaigns)
corrmapvars <- corrmapvars %>% dplyr::rename(testing = H2_Testing.policy)
corrmapvars <- corrmapvars %>% dplyr::rename(tracing = H3_Contact.tracing)
corrmapvars <- corrmapvars %>% dplyr::rename(health_care = H4_Emergency.investment.in.healthcare)
corrmapvars <- corrmapvars %>% dplyr::rename(vaccine = H5_Investment.in.vaccines)
corrmapvars <- corrmapvars %>% dplyr::rename(stringency_index = StringencyIndex)
corrmapvalues <- round(cor(corrmapvars, use = "pairwise.complete.obs"), 2)

# Here, I get the lower triangle of the correlation matrix
get_lower_tri<-function(cormat){
  cormat[upper.tri(cormat)] <- NA
  return(cormat)
}
# Now, I get the upper triangle of the correlation matrix
get_upper_tri <- function(cormat){
  cormat[lower.tri(cormat)]<- NA
  return(cormat)
}
reorder_cormat <- function(cormat){
### Use correlation between variables as distance
dd <- as.dist((1-cormat)/2)
hc <- hclust(dd)
cormat <-cormat[hc$order, hc$order]
}
### Reorder the correlation matrix
corrmapvalues <- reorder_cormat(corrmapvalues)
### Get the Upper Triangle
upper_tri <- get_upper_tri(corrmapvalues) 
### Melt the Correlation Map
melted_corrmap <- reshape2::melt(upper_tri, na.rm = TRUE)

### Generate the Static Correlation Map
ggheatmap <- ggplot(data = melted_corrmap, aes(x=Var2, y=Var1, fill=value)) + 
  geom_tile(color = "white") +
  scale_fill_gradient2(low = "blue", high = "red", mid = "white",
    midpoint = 0, limit = c(-1,1), space = "Lab", 
    name="Pearson\nCorrelation") +
  theme(axis.text.x = element_text(angle = 45)) +
  theme(axis.text.x = element_text(margin = margin(t = 5, r = 0, b = 0, l = 0))) +
  theme(axis.text.x = element_text(hjust=1))
print(ggheatmap)

### Generate an Interactive Correlation Map (you are able to zoom to specific correlates).
interactive_heatmap <- heatmaply_cor(
  cor(corrmapvalues),
  row_text_angle = 0,
  column_text_angle = 45,
  na.value = "grey50",
  na.rm = TRUE,
  xlab = "Features",
  ylab = "Features",
  k_col = 0,
  k_row = 0,
  fontsize_row = 5,
  fontsize_col = 5,
  plot_method = c("ggplot", "plotly"),
  show_dendrogram = c(FALSE, FALSE),
  key.title = "Pearson Correlations")
interactive_heatmap

Correlation matrix of government interventions (Table 3B)

cor.policy.dat <- Oxford_V1[,c("C1_School.closing", 
                      "C2_Workplace.closing",
                      "C3_Cancel.public.events",
                      "C4_Restrictions.on.gatherings",
                      "C5_Close.public.transport",            
                      "C6_Stay.at.home.requirements",         
                      "C7_Restrictions.on.internal.movement", 
                      "C8_International.travel.controls",
                      "H1_Public.information.campaigns",
                      "StringencyIndex")]
colnames(cor.policy.dat) <- c("School Closing", 
                      "Workplace Closing",
                      "Cancel Public Events",
                      "Gathering Restrictions",
                      "Close Public Transport",            
                      "Stay at Home",         
                      "Internal Movement Restrictions", 
                      "International Travel Controls",
                      "Public Information Campaigns",
                      "Stringency Index")
cormat<-round(cor(cor.policy.dat,use = "complete.obs"), 2)

# Here, I get the lower triangle of the correlation matrix
get_lower_tri<-function(cormat){
  cormat[upper.tri(cormat)] <- NA
  return(cormat)
}
# Now, I get the upper triangle of the correlation matrix
get_upper_tri <- function(cormat){
  cormat[lower.tri(cormat)]<- NA
  return(cormat)
}
reorder_cormat <- function(cormat){
# Use correlation between variables as distance
dd <- as.dist((1-cormat)/2)
hc <- hclust(dd)
cormat <-cormat[hc$order, hc$order]
}
cormat <- reorder_cormat(cormat)
melted_cormat <- reshape2::melt(get_upper_tri(cormat), na.rm = TRUE)

### Generate the Static Correlation Map
ggheatmap <- ggplot(data = melted_cormat, aes(x=Var2, y=Var1, fill=value)) + 
  geom_tile(color = "black") +
  scale_fill_gradient2(low = "blue", high = "red", mid = "white",
    midpoint = 0, limit = c(-1,1), space = "Lab", 
    name="Pearson\nCorrelation") +
  theme_minimal()+
  theme(axis.text.x = element_text(angle = 45)) +
  theme(axis.text.x = element_text(margin = margin(t = 5, r = 0, b = 0, l = 0))) +
  theme(axis.text.x = element_text(hjust=1))+coord_fixed()

Plot_78 <- ggheatmap + 
geom_text(aes(Var2, Var1, label = value), color = "black", size = 1.75) +
theme(
  axis.title.x = element_blank(),
  axis.title.y = element_blank(),
  axis.text=element_text(size=7),
  panel.grid.major = element_blank(),
  panel.border = element_blank(),
  panel.background = element_blank(),
  axis.ticks = element_blank(),
  legend.justification = c(1, 0),
  legend.position = c(0.6, 0.7),
  legend.direction = "horizontal",
  legend.title = element_text(size = 7),
  legend.text=element_text(size=7),
  plot.caption = element_text(size = 7, hjust=0))+
  guides(fill = guide_colorbar(barwidth = 7, barheight = 1,
                title.position = "top", title.hjust = 0.5))

# Print the heatmap
print(Plot_78)

Generating the heterogenous multi-factor model.

library(lubridate)
library(zoo)
library(quantmod)
library(fBasics)
library(tseries)
library(sandwich)
library(lmtest)
library(lattice)
library(xtable)
library(vars)
library(plyr)
library(gridExtra)
library(corrplot)
library(ggplot2)
library(reshape2)
library(data.table)
library(rvest)
library(plm)
library(stringr)
library(stargazer)
library(ggpubr)

## 
## Attaching package: 'ggpubr'

## The following object is masked from 'package:plyr':
## 
##     mutate

###read in data

cds_five<-read.csv("data/cds_daily_5y.csv",header=T,sep=',')
cds_five2<-read.csv("data/markit_CDS5Ydaily.csv",header=T,sep=',') ### markit CDS data to replace some bad data in the initial file (Greece)
ez_ten<-read.csv("data/cds_daily_10y_Ezone_dum.csv",header=T,sep=',')

cds_five$Name<-as.Date(cds_five$Name,"%m/%d/%Y")
colnames(cds_five)[1]<-"Date"
cds_five2$Date<-as.Date(cds_five2$Date,"%Y-%m-%d")

cds_five<-cds_five[which(cds_five$Date>="2014-01-01"),]
cds_five2<-cds_five2[which(cds_five2$Date>="2014-01-01"),]

ez_cds<-cds_five[,c(1,1+which(ez_ten$EU_dum==1))]
colnames(ez_cds)<-c("Date","Germany","France","Greece","Ireland","Belgium","Spain","Netherlands","Austria","Cyprus","Estonia","Italy","Latvia","Lithuania","Malta","Portugal","Slovenia","Slovak_Rep","Finland")
nonez_cds<-cds_five[,c(1,1+which(ez_ten$EU_dum!=1))]


###plot individual spreads
pdat<-melt(ez_cds,id.vars="Date")
countriez<-unique(pdat$variable)
country_plots<-list()

for(i in 1:length(countriez)) {
    country_plots[[i]] <- ggplot(data=subset(pdat,variable==countriez[i]), aes_string(x="Date",y="value"))+geom_line(size=1)+theme_bw()+ylab("")+xlab(countriez[i])
}

do.call("grid.arrange", c(country_plots))

### replace germany, greece with markit CDS data
ez_cds$Germany<-NA
ez_cds$Germany[which(ez_cds$Date %in% cds_five2$Date)]<-cds_five2$DE
ez_cds$Germany[1]<-ez_cds$Germany[2] #fill in 1/1/2014 with 1/2/2014 value
ez_cds$Germany<-na.locf(ez_cds$Germany)

ez_cds$Greece<-NA
ez_cds$Greece[which(ez_cds$Date %in% cds_five2$Date)]<-cds_five2$GR
ez_cds$Greece[1]<-ez_cds$Greece[2] #fill in 1/1/2014 with 1/2/2014 value
ez_cds$Greece<-na.locf(ez_cds$Greece)
ez_cds$Greece[which(ez_cds$Greece>4000)]<-ez_cds$Greece[which(ez_cds$Greece>4000)[1]-1] #fix outliers

###REMOVE MALTA
ez_cds<-ez_cds[,-which(colnames(ez_cds)=="Malta")]

###plot individual spreads
pdat<-melt(ez_cds,id.vars="Date")
countriez<-unique(pdat$variable)
country_plots<-list()


for(i in 1:length(countriez)) {
    country_plots[[i]] <- ggplot(data=subset(pdat,variable==countriez[i]), aes_string(x="Date",y="value"))+geom_line(size=1)+theme_bw()+ylab("")+xlab(countriez[i])
}

do.call("grid.arrange", c(country_plots)) #much better

###Prepare data for regression

ez_cds2<-ez_cds

d_ezcds<-apply(log(ez_cds2[,-1]),2,diff) #log differences of EZ spreads
d_necds<-apply(log(nonez_cds[,-1]),2,diff) # log differences of non-EZ spreads

glo_cds<-rowMeans(d_necds) # create a global CDS factor excluding EZ
ez_fac<-matrix(NA,nrow=nrow(d_ezcds),ncol=ncol(d_ezcds)) # create an EZ common factor excluding country i
for(i in 1:ncol(ez_fac)){
  ez_fac[,i]<-rowMeans(d_ezcds[,-i])
}


###training - test sample split
pre.dat<-d_ezcds[which(ez_cds2$Date[-1]<"2019-06-30"),]
post.dat<-d_ezcds[which(ez_cds2$Date[-1]>="2019-06-30"),]

glo_cds_pre<-glo_cds[which(ez_cds2$Date[-1]<"2019-06-30")]
glo_cds_post<-glo_cds[which(ez_cds2$Date[-1]>="2019-06-30")]

ez_fac_pre<-ez_fac[which(ez_cds2$Date[-1]<"2019-06-30"),]
ez_fac_post<-ez_fac[which(ez_cds2$Date[-1]>="2019-06-30"),]

Fit the models

coefz<-matrix(NA,ncol=4,nrow=ncol(pre.dat))
predz<-matrix(NA,ncol=ncol(pre.dat),nrow=(nrow(post.dat)))
rsqz<-c(0)
for(i in 1:nrow(coefz)){
mod<-lm(pre.dat[,i]~Lag(pre.dat[,i],1)+glo_cds_pre+ez_fac_pre[,i])
coefz[i,]<-coef(mod)
predz[,i]<-coef(mod)[1]*rep(1,nrow(post.dat))+coef(mod)[2]*Lag(post.dat[,i],1)+coef(mod)[3]*glo_cds_post+coef(mod)[4]*ez_fac_post[,i]
rsqz[i]<-summary(mod)$r.squared
}

colnames(predz)<-colnames(post.dat)

FIGURES

pdat<-data.frame(ez_cds2$Date[which(ez_cds2$Date>"2019-06-30")],rowMeans(post.dat),
                 rowMeans(post.dat[,which(colnames(post.dat) %in% c("Portugal","Italy","Ireland","Greece","Spain"))]),rowMeans(post.dat[,which(!colnames(post.dat) %in% c("Portugal","Italy","Ireland","Greece","Spain"))]),rowMeans(post.dat[,which(colnames(post.dat) %in% c("France","Germany","Belgium","Netherlands"))]),
                 rowMeans(post.dat[,which(colnames(post.dat) %in% c("Belgium","Spain","Italy","France","Netherlands"))]),rowMeans(post.dat[,which(!colnames(post.dat) %in% c("Slovakia","Latvia","Cyprus","Greece","Lithuania"))]),
                 rowMeans(predz),rowMeans(predz[,which(colnames(post.dat) %in% c("Portugal","Italy","Spain","Greece","Spain"))]),rowMeans(predz[,which(!colnames(post.dat) %in% c("Portugal","Italy","Ireland","Greece","Spain"))]),rowMeans(predz[,which(!colnames(post.dat) %in% c("France","Germany","Belgium","Netherlands"))]),
                 rowMeans(predz[,which(colnames(post.dat) %in% c("Belgium","Spain","Italy","France","Netherlands"))]),rowMeans(predz[,which(!colnames(post.dat) %in% c("Slovakia","Latvia","Cyprus","Greece","Lithuania"))]),
                 apply(apply(post.dat,2,cumsum),1,sd))
colnames(pdat)<-c("date","EZ_Avg","EZ_Avg_PIIGS","EZ_Avg_nPIIGS","EZ_Avg_Core","EZ_Avg_COVID","EZ_Avg_nCOVID","EZ_Pred","EZ_Pred_PIIGS","EZ_Pred_nPIIGS","EZ_Pred_Core","EZ_Pred_COVID","EZ_Pred_nCOVID","EZ_SD")
p<-ggplot(data=pdat[-1,],aes(x=date,y=cumsum(EZ_Avg)))+geom_line()+geom_line(aes(y=cumsum(EZ_Pred)),linetype=2)+theme_bw()+xlab("")+ylab("Cumulative Change (Log CDS)")+ggtitle("Eurozone Average CDS Spreads, Out-of-Sample Period")+geom_vline(xintercept = c(as.numeric(as.Date("2020-03-18")),as.numeric(as.Date("2020-06-04"))),alpha=.5)

p2<-ggplot(data=pdat[-1,],aes(x=date,y=EZ_SD))+geom_line()+theme_bw()+xlab("")+ylab("Standard Deviation")+ggtitle("Eurozone CDS Spreads Dispersion")+geom_vline(xintercept = c(as.numeric(as.Date("2020-03-18")),as.numeric(as.Date("2020-06-04"))),alpha=.5)

p3a<-ggplot(data=pdat[-1,],aes(x=date,y=cumsum(EZ_Avg_PIIGS)))+geom_line()+geom_line(aes(y=cumsum(EZ_Avg_nPIIGS)),size=1)+theme_bw()+xlab("")+ylab("Cumulative Change (Log CDS)")+ggtitle("GIIPS Vs. Non-GIIPS: Actual")+geom_vline(xintercept=c(as.numeric(as.Date("2020-03-18")),as.numeric(as.Date("2020-06-04"))),alpha=.5)+ylim(c(-.6,1))+annotate("text", x = c(as.Date("2020-01-25"),as.Date("2020-01-05")), y = c(.1,-.5), label = c("non-GIIPS", "GIIPS") , fontface=c("bold","plain"))

p3b<-ggplot(data=pdat[-1,],aes(x=date,y=cumsum(EZ_Avg_PIIGS-EZ_Pred_PIIGS)))+geom_line()+geom_line(aes(y=cumsum(EZ_Avg_nPIIGS-EZ_Pred_nPIIGS)),size=1)+theme_bw()+xlab("")+ylab("Cumulative Residuals")+labs(title="GIIPS Vs. Non-GIIPS: Actual-Fitted")+geom_vline(xintercept=c(as.numeric(as.Date("2020-03-18")),as.numeric(as.Date("2020-06-04"))),alpha=.5)+annotate("text", x = c(as.Date("2020-01-25"),as.Date("2020-02-10")), y = c(.1,-.1), label = c("Non-GIIPS", "GIIPS") , fontface=c("bold","plain"))

p5a<-ggplot(data=pdat[-1,],aes(x=date,y=cumsum(EZ_Avg_PIIGS)))+geom_line()+geom_line(aes(y=cumsum(EZ_Avg_Core)),size=1)+theme_bw()+xlab("")+ylab("Cumulative Change (Log CDS)")+ggtitle("GIIPS Vs. Core: Actual")+geom_vline(xintercept=c(as.numeric(as.Date("2020-03-18")),as.numeric(as.Date("2020-06-04"))),alpha=.5)+ylim(c(-.6,1))+annotate("text", x = c(as.Date("2020-01-25"),as.Date("2020-01-05")), y = c(.1,-.5), label = c("Core", "GIIPS") , fontface=c("bold","plain"))
p5b<-ggplot(data=pdat[-1,],aes(x=date,y=cumsum(EZ_Avg_PIIGS-EZ_Pred_PIIGS)))+geom_line()+geom_line(aes(y=cumsum(EZ_Avg_Core-EZ_Pred_Core)),size=1)+theme_bw()+xlab("")+ylab("Cumulative Residuals")+labs(title="GIIPS Vs. Core: Actual-Fitted")+geom_vline(xintercept=c(as.numeric(as.Date("2020-03-18")),as.numeric(as.Date("2020-06-04"))),alpha=.5)+annotate("text", x = c(as.Date("2020-01-25"),as.Date("2020-02-10")), y = c(.1,-.1), label = c("Core", "GIIPS") , fontface=c("bold","plain"))

p4a<-ggplot(data=pdat[-1,],aes(x=date,y=cumsum(EZ_Avg_COVID)))+geom_line()+geom_line(aes(y=cumsum(EZ_Avg_nCOVID)),size=1)+theme_bw()+xlab("")+ylab("Cumulative Change (Log CDS)")+ggtitle("High Vs. Low COVID Moralities: Actual")+geom_vline(xintercept=c(as.numeric(as.Date("2020-03-18")),as.numeric(as.Date("2020-06-04"))),alpha=.5)+ylim(c(-.6,1))+annotate("text", x = c(as.Date("2020-01-25"),as.Date("2020-01-25")), y = c(.1,.75), label = c("Low Mortality", "High Mortality") , fontface=c("bold","plain"))

p4b<-ggplot(data=pdat[-1,],aes(x=date,y=cumsum(EZ_Avg_COVID-EZ_Pred_COVID)))+geom_line()+geom_line(aes(y=cumsum(EZ_Avg_nCOVID-EZ_Pred_nCOVID)),size=1)+theme_bw()+xlab("")+ylab("Cumulative Residuals")+labs(title="High Vs. Low COVID Moralities: Actual-Fitted")+geom_vline(xintercept=c(as.numeric(as.Date("2020-03-18")),as.numeric(as.Date("2020-06-04"))),alpha=.5)+annotate("text", x = c(as.Date("2020-02-01"),as.Date("2020-02-10")), y = c(.1,.5), label = c("Low Mortality", "High Mortality") , fontface=c("bold","plain"))

grid.arrange(p,p2,p4a,p4b,nrow=2) #1000x700

grid.arrange(p3a,p3b,p5a,p5b,nrow=2)

#write.csv(data.frame(pdat$date,post.dat),"covid_ez_spreads.csv")
#write.csv(data.frame(pdat$date,predz),"covid_ez_prediction.csv")

corz<-c(0)
for(i in 1:ncol(post.dat)){
  corz[i]<-cor(post.dat[,i],predz[,i],use="complete.obs")
}

###plot individual spreads
pdat<-data.frame(ez_cds2$Date[which(ez_cds2$Date>"2019-06-30")],post.dat,predz)
colnames(pdat)[1]<-"date"
countriez<-colnames(pdat)[-1]
country_plots<-list()


for(i in 1:(length(countriez)/2)) {
  plotdat<-pdat[-1,c(1,i+1,i+18)]
  plotdat[,-1]<-apply(plotdat[,-1],2,cumsum)
    country_plots[[i]] <- ggplot(data=(plotdat), aes_string(x="date",y=colnames(plotdat)[2]))+geom_line()+theme_bw()+ylab("")+xlab(countriez[i])+geom_line(aes_string(x="date",y=colnames(plotdat)[3]),linetype=2)
}

do.call("grid.arrange", c(country_plots)) 

###plots vs fundamentals

fstim<-read.csv("data/CESI_7.csv",header=T,sep=',')
###keep EU 
eu_countries<-c("Austria","Belgium","Cyprus","Estonia","Finland","France","Germany","Greece","Ireland","Italy","Latvia","Lithuania","Luxembourg","Malta","Netherlands","Portugal","Slovak Republic","Slovenia","Spain")
#eu_countries2<-c("Austria","Belgium","Cyprus","Estonia","Finland","France","Germany","Greece","Ireland","Italy","Latvia","Lithuania","Luxembourg","Malta","Netherlands","Portugal","Slovakia","Slovenia","Spain")

fstim<-fstim[which(fstim$Country %in% eu_countries),]
fstim<-fstim[-which(fstim$Country %in% c("Malta","Luxembourg")),]
colnames(fstim)[which(colnames(fstim)=="Slovak Republic")]<-"Slovak_Rep"
fstim<-fstim[,c("Country","fiscal_7")]
###quick plot


p.cds.coefs<-data.frame(coefz)
p.cds.coefs$countries<-colnames(post.dat)
p.cds.coefs.stim<-merge(p.cds.coefs,fstim,by.x="countries",by.y="Country")


pd<-read.csv("data/EZ_PublicDebtToGDPYearly.csv",header=T,sep=',')
pd2<-pd[which(pd$Date %in% c("2014Q4","2015Q4","2016Q4","2017Q4","2018Q4")),]
colnames(pd2)<-c("Date","Austria","Belgium","Cyprus","Finland","France","Germany","Greece","Ireland","Italy","Lithuania","Malta","Netherlands","Portugal","Slovak_Rep","Slovenia","Spain")

p.cds.coefs.pd<-p.cds.coefs[-which(colnames(post.dat) %in% c("Estonia","Latvia")),] #no PD data on these two
pd2<-pd2[,-which(colnames(pd2) %in% c("Malta","Estonia"))]
#pd2<-pd2[,c("Date","Germany","France","Ireland","Belgium","Spain","Netherlands","Austria","Cyprus","Italy","Lithuania","Portugal","Slovenia","Slovak_Rep","Finland")]
pd2<-pd2[,c("Date",p.cds.coefs.pd$countries)]
pd3<-colMeans(pd2[,-1])

  rates<-read.csv("data/_rMinusg.csv",header=T,sep=',')
rates$Date<-as.yearqtr((rates$Date))
rmg<-rates[which(rates$Date >= "2014 Q4"),]
rmg<-rmg[which(rmg$Date<="2018 Q4"),]
rmg<-colMeans(rmg[,-1],na.rm=T)
rmg<-rmg[-length(rmg)]
names(rmg)<-c("Austria","Belgium","Cyprus","Finland","France","Germany","Greece","Ireland","Italy","Lithuania","Malta","Netherlands","Portugal","Slovak_Rep","Slovenia","Spain")
rmg<-rmg[-which(names(rmg)=="Malta")]
rmg<-rmg[p.cds.coefs.pd$countries]

###fundamentals plot

pdat<-data.frame(pd3,rmg,p.cds.coefs.pd)
colnames(pdat)<-c("PD","RMG","Intercept","AR","Global","Euro","countries")

p<-ggplot(data=pdat,aes(x=PD,y=Global))+geom_point(shape=21,fill="grey",size=3)+theme_bw()+geom_text(aes(label=countries),hjust="inward", vjust="inward")+xlab("Public Debt/GDP (%)")+ylab("Global Beta")+stat_cor(method = "pearson", label.x = 50, label.y = .5)+geom_smooth(method="lm",se=F,color="red",linetype=2,size=.5)

p2<-ggplot(data=pdat,aes(x=PD,y=Euro))+geom_point(shape=21,fill="grey",size=3)+theme_bw()+geom_text(aes(label=countries),hjust="inward", vjust="inward")+xlab("Public Debt/GDP (%)")+ylab("Regional Beta")+stat_cor(method = "pearson", label.x = 45, label.y = 1.9)+geom_smooth(method="lm",se=F,color="red",linetype=2,size=.5)

grid.arrange(p,p2,nrow=1)## 1000x400

## `geom_smooth()` using formula 'y ~ x'
## `geom_smooth()` using formula 'y ~ x'

pdat2<-data.frame(p.cds.coefs.stim)
colnames(pdat2)<-c("Country","Intercept","AR","Global","Euro","Fiscal")

p4<-ggplot(data=pdat2,aes(x=Global,y=Fiscal))+geom_point(shape=21,size=3,fill="grey")+theme_bw()+geom_text(aes(label=Country),hjust="inward", vjust="inward")+ylab("COVID Stimulus/GDP (%)")+xlab("Global Beta")+stat_cor(method = "pearson", label.x = -.15, label.y = 20)+geom_smooth(method="lm",se=F,color="red",linetype=2,size=.5)
p5<-ggplot(data=pdat2,aes(x=Euro,y=Fiscal))+geom_point(shape=21,size=3,fill="grey")+theme_bw()+geom_text(aes(label=Country),hjust="inward", vjust="inward")+ylab("COVID Stimulus/GDP (%)")+xlab("Regional Beta")+stat_cor(method = "pearson", label.x = 1, label.y = 20)+geom_smooth(method="lm",se=F,color="red",linetype=2,size=.5)

p7<-ggplot(data=pdat2,aes(x=Country,y=Fiscal))+geom_bar(stat="identity")+theme_bw()+theme(axis.text.x=element_text(angle = 60))+xlab("")+ylab("Fiscal Stimulus Announced (% of GDP)")


pdat3<-data.frame(names(pd3),pd3,colSums(post.dat[1:197,],na.rm=T)[-c(10,12)],colSums(post.dat[1:197,]-predz[1:197,],na.rm=T)[-c(10,12)])
colnames(pdat3)<-c("country","pd","post","covidresid")
p8<-ggplot(data=pdat3,aes(x=pd,y=post))+geom_point(shape=21,fill="grey",size=3)+theme_bw()+stat_cor(method = "pearson", label.x =-.50, label.y = -.5)+geom_text(aes(label=country),hjust="inward",check_overlap = T)+xlab("Public Debt/GDP (%)")+ylab("Realized log CDS Change (2020)")
p9<-ggplot(data=pdat3,aes(x=pd,y=covidresid))+geom_point(shape=21,fill="grey",size=3)+theme_bw()+stat_cor(method = "pearson", label.x =-.50, label.y = -.5)+geom_text(aes(label=country),hjust="inward",check_overlap = T)+xlab("Public Debt/GDP (%)")+ylab("Cumulative COVID Residual")

pdat4<-data.frame(fstim,colSums(post.dat[1:197,],na.rm=T),colSums(post.dat[1:197,]-predz[1:197,],na.rm=T))
colnames(pdat4)<-c("country","fstim","post","covidresid")
p10<-ggplot(data=pdat4,aes(y=post,x=fstim))+geom_point(shape=21,fill="grey",size=3)+theme_bw()+stat_cor(method = "pearson", label.x =15, label.y = -.5)+geom_text(aes(label=country),hjust="inward",check_overlap = T)+ylab("Realized log CDS Change (2020)")+xlab("COVID Stimulus/GDP (%)")
p11<-ggplot(data=pdat4,aes(y=covidresid,x=fstim))+geom_point(shape=21,fill="grey",size=3)+theme_bw()+stat_cor(method = "pearson", label.x =15, label.y = -.5)+geom_text(aes(label=country),hjust="inward",check_overlap = T)+ylab("Cumulative COVID Residual")+xlab("COVID Stimulus/GDP (%)")

Weining Analysis - Linking COVID Residuals to COVID Mortality

cds_5yr_prediction <- read.csv("data/covid_ez_prediction.csv", header = T, sep=',')
cds_5yr_actual <- read.csv("data/covid_ez_spreads.csv", header = T, sep = ',')

oxford <- read_excel("data/Oxford_V1.xlsx")
oxford <- oxford %>% dplyr::select(-contains("Flag"))
oxford <- oxford %>% dplyr::select(-contains("Lagged"))
colnames(oxford)[which(colnames(oxford) == "Total_Cases_Country")] <- "Total_Case"
colnames(oxford)[which(colnames(oxford) == "Total_Deceased_Country")] <- "Total_Death"
colnames(oxford)[which(colnames(oxford) == "New_Confirmed_Country")] <- "New_Case"
colnames(oxford)[which(colnames(oxford) == "New_Total_Deceased_Country")] <- "New_Death"
oxford$Total_Case_Rate <- oxford$Total_Case/oxford$Population*1000000 ### Total case rate per one million people
oxford$Total_Mortality_Rate <- oxford$Total_Death/oxford$Population*1000000 ### Total mortality rate per one million people
oxford$New_Case_Rate <- oxford$New_Case/oxford$Population*1000000 ### New case rate per one million people
oxford$New_Mortality_Rate <- oxford$New_Death/oxford$Population*1000000 ### New mortality rate per one million people
oxford$Total_Mortality_Rate_Per_Capita <- NULL
oxford$New_Mortality_Rate_Per_Capita <- NULL
oxford$Total_Cases_Country_Per_Capita <- NULL
oxford$rolling_average_confirmed <- NULL
oxford$rolling_average_deceased <- NULL
oxford$total_rolling_average_mortality <- NULL
oxford$new_rolling_average_mortality <- NULL

colnames(oxford)[1] <- "Country"

oxford <- pdata.frame(oxford, index = c("Country", "Date"))
oxford$Date <- as.Date(oxford$Date,"%Y-%m-%d")
#reorder
oxford <- oxford[order(oxford$Date),]
oxford <- oxford[order(oxford$Country),]

oxford <- oxford %>%
  dplyr::group_by(Country) %>%
  dplyr::mutate(Total_Mortality_Rate_Growth = (Total_Mortality_Rate - Lag(Total_Mortality_Rate,1))/Lag(Total_Mortality_Rate,1))

oxford <- oxford %>%
  dplyr::group_by(Country) %>%
  dplyr::mutate(New_Mortality_Rate_Growth = (New_Mortality_Rate - Lag(New_Mortality_Rate,1))/Lag(New_Mortality_Rate,1))

oxford <- oxford %>%
  dplyr::group_by(Country) %>%
  dplyr::mutate(Total_Case_Rate_Growth = (Total_Case_Rate - Lag(Total_Case_Rate,1))/Lag(Total_Case_Rate,1))

oxford <- oxford %>%
  dplyr::group_by(Country) %>%
  dplyr::mutate(New_Case_Rate_Growth = (New_Case_Rate - Lag(New_Case_Rate,1))/Lag(New_Case_Rate,1))

oxford <- oxford %>%
  dplyr::group_by(Country) %>%
  dplyr::mutate(SI_Growth = (StringencyIndex - Lag(StringencyIndex,1))/Lag(StringencyIndex,1))

oxford$Country <- as.character(oxford$Country)

oxford$Country[which(oxford$Country == "Slovakia")] <- "Slovak_Rep"

cds_5yr_prediction_long <- reshape2::melt(cds_5yr_prediction, id.vars=c("X", "pdat.date"))
colnames(cds_5yr_prediction_long) <- c("X", "Date", "Country", "CDS_5y_Prediction")
cds_5yr_prediction_long$X <- NULL

cds_5yr_actual_long <- reshape2::melt(cds_5yr_actual, id.vars=c("X", "pdat.date"))
colnames(cds_5yr_actual_long) <- c("X", "Date", "Country", "CDS_5y_Actual")
cds_5yr_actual_long$X <- NULL

cds_5yr_merged <- merge(cds_5yr_actual_long, cds_5yr_prediction_long, by=c("Country", "Date"), all.x=TRUE)
cds_5yr_merged$CDS_5y_Residual <- cds_5yr_merged$CDS_5y_Actual - cds_5yr_merged$CDS_5y_Prediction

cds_5yr_merged$Date <- as.Date(cds_5yr_merged$Date,"%Y-%m-%d")
cds_5yr_merged <- cds_5yr_merged[which(cds_5yr_merged$Date < '2020-07-01'),]

cds_5y_actual_EZ <- aggregate(CDS_5y_Actual ~ Date, cds_5yr_merged, mean)
cds_5y_prediction_EZ <- aggregate(CDS_5y_Prediction ~ Date, cds_5yr_merged, mean)

eval <- c(0)

cds_5yr_EZ <- merge(cds_5y_actual_EZ, cds_5y_prediction_EZ, by = c("Date"), all.x = TRUE)
cds_5yr_EZ_preMar <- cds_5yr_EZ[which(cds_5yr_EZ$Date < '2020-03-01' & cds_5yr_EZ$Date >= '2020-01-01'),]
cds_5yr_EZ_preMar$residual2 <- (cds_5yr_EZ_preMar$CDS_5y_Actual - cds_5yr_EZ_preMar$CDS_5y_Predictio)^2  
eval[1] <- mean(cds_5yr_EZ_preMar$residual2, na.rm = TRUE)

cds_5yr_EZ_postMar <- cds_5yr_EZ[which(cds_5yr_EZ$Date >= '2020-04-01' & cds_5yr_EZ <= '2020-05-31'),]
cds_5yr_EZ_postMar$residual2 <- (cds_5yr_EZ_postMar$CDS_5y_Actual - cds_5yr_EZ_postMar$CDS_5y_Predictio)^2  
eval[2] <- mean(cds_5yr_EZ_postMar$residual2, na.rm = TRUE)

cds_5yr_EZ_Mar <- cds_5yr_EZ[which(cds_5yr_EZ$Date >= '2020-03-01' & cds_5yr_EZ$Date < '2020-04-01'),]
cds_5yr_EZ_Mar$residual2 <- (cds_5yr_EZ_Mar$CDS_5y_Actual - cds_5yr_EZ_Mar$CDS_5y_Predictio)^2  
eval[3] <- mean(cds_5yr_EZ_Mar$residual2, na.rm = TRUE)

p_EZ_preMar <- ggplot(dat = cds_5yr_EZ_preMar,aes(x=Date,y=CDS_5y_Actual,linetype="Actual"))+geom_line()+geom_line(aes(y=CDS_5y_Prediction,linetype="Fitted"))+theme_bw()+xlab("")+ylab("Daily Change (Log CDS)")+ggtitle("Eurozone Average CDS Spreads, Mid Dec 2019 - Feb 2020")+theme(axis.title.y = element_text(size = 10),axis.text = element_text(size = 10),legend.title = element_blank(),plot.title = element_text(size=12),legend.position = c(0.8, 0.8))+ylim(-0.15,0.2)

p_EZ_postMar <- ggplot(dat = cds_5yr_EZ_postMar,aes(x=Date,y=CDS_5y_Actual,linetype="Actual"))+geom_line()+geom_line(aes(y=CDS_5y_Prediction,linetype="Fitted"))+theme_bw()+xlab("")+ylab("Daily Change (Log CDS)")+ggtitle("Eurozone Average CDS Spreads, Apr 2020 - Mid June 2020")+theme(axis.title.y = element_text(size = 10),axis.text = element_text(size = 10),legend.title = element_blank(),plot.title = element_text(size=12),legend.position = c(0.8, 0.8))+ylim(-0.15,0.2)

p_EZ_Mar <- ggplot(dat = cds_5yr_EZ_Mar,aes(x=Date,y=CDS_5y_Actual,linetype="Actual"))+geom_line()+geom_line(aes(y=CDS_5y_Prediction,linetype="Fitted"))+theme_bw()+xlab("")+ylab("Daily Change (Log CDS)")+ggtitle("Eurozone Average CDS Spreads, March 2020")+theme(axis.title.y = element_text(size = 10),axis.text = element_text(size = 10),legend.title = element_blank(),plot.title = element_text(size=12),legend.position = c(0.8, 0.8))+ylim(-0.15,0.2)

p_EZ <- grid.arrange(p_EZ_preMar, p_EZ_Mar, p_EZ_postMar, ncol=3,nrow=1)

## Warning: Removed 108 row(s) containing missing values (geom_path).

## Warning: Removed 108 row(s) containing missing values (geom_path).

panel <- merge(cds_5yr_merged, oxford, by = c("Country", "Date"), all.x = TRUE)
panel$Dummy_Fiscal_Country <- as.numeric(panel$Fiscal_Response_Dummy > 0)
panel$Dummy_Fiscal_EU <- as.numeric(panel$EU_Fiscal_Response_Dummy > 0)
panel$Dummy_Monetary_ECB <- as.numeric(panel$ECB_Announcement > 0)
panel$Dummy_Monetary_Fed <- as.numeric(panel$Fed_Announcement > 0)

panel <- panel[which(panel$Date > '2019-07-01'),]
panel <- panel %>%
  dplyr::group_by(Country) %>%
  dplyr::mutate(Cum_CDS_5y_Residual = cumsum(CDS_5y_Residual))

panel_inCOVID <- panel[which(panel$Date > "2020-02-29" & panel$Date < "2020-04-01"),]

panel_inCOVID <- panel_inCOVID %>% ungroup()

panel_inCOVID <- pdata.frame(panel_inCOVID, index = c("Country", "Date"))
panel_inCOVID$Date <- as.Date(panel_inCOVID$Date,"%Y-%m-%d")
#reorder
panel_inCOVID <- panel_inCOVID[order(panel_inCOVID$Date),]
panel_inCOVID <- panel_inCOVID[order(panel_inCOVID$Country),]

Panel analysis: COVID residuals

new_res.mortality.2 <- plm(CDS_5y_Residual ~ Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth),
                                      method="pooling", effect="twoways",
                                      data=panel_inCOVID[which(!is.infinite(-panel_inCOVID$New_Mortality_Rate_Growth) & !is.infinite(-panel_inCOVID$Total_Mortality_Rate_Growth)),], na.action="na.exclude")
se.new_res.mortality.2 <- coeftest(new_res.mortality.2, vcov = vcovHC(new_res.mortality.2, type = "HC1"))

new_res.mortality.3 <- plm(CDS_5y_Residual ~ Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth) + driving + SI_Growth,
                                      method="pooling", effect="twoways",
                                      data=panel_inCOVID[which(!is.infinite(-panel_inCOVID$New_Mortality_Rate_Growth) & !is.infinite(-panel_inCOVID$Total_Mortality_Rate_Growth)),], na.action="na.exclude")
se.new_res.mortality.3 <- coeftest(new_res.mortality.3, vcov = vcovHC(new_res.mortality.3, type = "HC1"))

new_res.mortality.4 <- plm(CDS_5y_Residual ~ Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth) + driving + SI_Growth + Lag(Dummy_Fiscal_Country) + Lag(Dummy_Fiscal_EU) + Lag(Dummy_Monetary_ECB) + Lag(Dummy_Monetary_Fed),
                                      method="pooling", effect="twoways",
                                      data=panel_inCOVID[which(!is.infinite(-panel_inCOVID$New_Mortality_Rate_Growth) & !is.infinite(-panel_inCOVID$Total_Mortality_Rate_Growth)),], na.action="na.exclude")
se.new_res.mortality.4 <- coeftest(new_res.mortality.4, vcov = vcovHC(new_res.mortality.4, type = "HC1"))

stargazer(digits=4,new_res.mortality.2,new_res.mortality.3,new_res.mortality.4,
          type="html",se=list(se.new_res.mortality.2[,2],se.new_res.mortality.3[,2],se.new_res.mortality.4[,2]), out=file.path("Table_inCOVID_panel_output_newRES_mortality.htm"),
          dep.var.labels=c("COVID Residual"),
          covariate.labels=c("New Mortality Rate", "New Mortality Rate Growth", 
                             "Total Mortality Rate", "Total Mortality Rate Growth",
                             "Mobility", "SI Growth",
                             "Country Fiscal Policy Dummy", "EU Fiscal Policy Dummy", "ECB Policy Dummy", "Fed Policy Dummy"), df = FALSE, omit.stat="adj.rsq", 
                             notes = c("*,**,*** correspond to 10%, 5% and 1% significance, respectively.","HAC robust standard errors, clustered by country. Time and Country FEs."),
                             notes.append=F, notes.align ="l",
                             title="COVID-Sample Panel Analysis",add.lines = list(c("Fixed effects?", "Y","Y","Y","Y")))

Panel analysis: CDS spreads changes in 2020 March

new_CDS.mortality.0 <- plm(CDS_5y_Actual ~ CDS_5y_Prediction,
                                      method="pooling", effect="twoways",
                                      data=panel_inCOVID, na.action="na.exclude")
se.new_CDS.mortality.0 <- coeftest(new_CDS.mortality.0, vcov = vcovHC(new_CDS.mortality.0, type = "HC1"))

new_CDS.mortality.2 <- plm(CDS_5y_Actual ~ CDS_5y_Prediction + Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth),
                                      method="pooling", effect="twoways",
                                      data=panel_inCOVID[which(!is.infinite(-panel_inCOVID$New_Mortality_Rate_Growth) & !is.infinite(-panel_inCOVID$Total_Mortality_Rate_Growth)),], na.action="na.exclude")
se.new_CDS.mortality.2 <- coeftest(new_CDS.mortality.2, vcov = vcovHC(new_CDS.mortality.2, type = "HC1"))

new_CDS.mortality.3 <- plm(CDS_5y_Actual ~ CDS_5y_Prediction + Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth) + driving + SI_Growth,
                                      method="pooling", effect="twoways",
                                      data=panel_inCOVID[which(!is.infinite(-panel_inCOVID$New_Mortality_Rate_Growth) & !is.infinite(-panel_inCOVID$Total_Mortality_Rate_Growth)),], na.action="na.exclude")
se.new_CDS.mortality.3 <- coeftest(new_CDS.mortality.3, vcov = vcovHC(new_CDS.mortality.3, type = "HC1"))

new_CDS.mortality.4 <- plm(CDS_5y_Actual ~ CDS_5y_Prediction + Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth) + driving + SI_Growth + Lag(Dummy_Fiscal_Country) + Lag(Dummy_Fiscal_EU) + Lag(Dummy_Monetary_ECB) + Lag(Dummy_Monetary_Fed),
                                      method="pooling", effect="twoways",
                                      data=panel_inCOVID[which(!is.infinite(-panel_inCOVID$New_Mortality_Rate_Growth) & !is.infinite(-panel_inCOVID$Total_Mortality_Rate_Growth)),], na.action="na.exclude")
se.new_CDS.mortality.4 <- coeftest(new_CDS.mortality.4, vcov = vcovHC(new_CDS.mortality.4, type = "HC1"))

stargazer(digits=4,new_CDS.mortality.0,new_CDS.mortality.2,new_CDS.mortality.3,new_CDS.mortality.4,
          type="html",se=list(se.new_CDS.mortality.0[,2],se.new_CDS.mortality.2[,2],se.new_CDS.mortality.3[,2],se.new_CDS.mortality.4[,2]),out=file.path("Table_inCOVID_panel_output_newCDS_mortality.htm"),
          dep.var.labels=c("Daily CDS Spread Change"),
          covariate.labels=c("Fitted Daily CDS Spread Change", "New Mortality Rate", "New Mortality Rate Growth", 
                             "Total Mortality Rate", "Total Mortality Rate Growth",
                             "Mobility", "SI Growth",
                             "Country Fiscal Policy Dummy", "EU Fiscal Policy Dummy", "ECB Policy Dummy", "Fed Policy Dummy"), df = FALSE, omit.stat="adj.rsq", 
                             notes = c("*,**,*** correspond to 10%, 5% and 1% significance, respectively.","HAC robust standard errors, clustered by country. Time and Country FEs."),
                             notes.append=F, notes.align ="l",
                             title="COVID-Sample Panel Analysis",add.lines = list(c("Fixed effects?","Y","Y","Y","Y","Y")))

Panel analayis: subsample with observations for which mortality data is available

new_CDS.mortality.2.small <- plm(CDS_5y_Actual ~ CDS_5y_Prediction + Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth),
                                      method="pooling", effect="twoways",
                                      data=panel_inCOVID[which(!is.infinite(-panel_inCOVID$New_Mortality_Rate_Growth) & !is.infinite(-panel_inCOVID$Total_Mortality_Rate_Growth)),], na.action="na.exclude")
se.new_CDS.mortality.2.small <- coeftest(new_CDS.mortality.2.small, vcov = vcovHC(new_CDS.mortality.2.small, type = "HC1"))

panel_inCOVID_small <- cbind(as.vector(new_CDS.mortality.2$model[[1]]), attr(new_CDS.mortality.2$model[[1]], "index"))
panel_inCOVID_small$Date <- as.Date(panel_inCOVID_small$Date,"%Y-%m-%d")
panel_inCOVID_small <- merge(panel_inCOVID_small, panel_inCOVID, by = c("Country", "Date"), all.x = TRUE)

new_CDS.mortality.0.small <- plm(CDS_5y_Actual ~ CDS_5y_Prediction,
                                      method="pooling", effect="twoways",
                                      data=panel_inCOVID_small, na.action="na.exclude")
se.new_CDS.mortality.0.small <- coeftest(new_CDS.mortality.0.small, vcov = vcovHC(new_CDS.mortality.0.small, type = "HC1"))

new_CDS.mortality.3.small <- plm(CDS_5y_Actual ~ CDS_5y_Prediction + Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth) + driving + SI_Growth,
                                      method="pooling", effect="twoways",
                                      data=panel_inCOVID_small, na.action="na.exclude")
se.new_CDS.mortality.3.small <- coeftest(new_CDS.mortality.3.small, vcov = vcovHC(new_CDS.mortality.3.small, type = "HC1"))

new_CDS.mortality.4.small <- plm(CDS_5y_Actual ~ CDS_5y_Prediction + Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth) + driving + SI_Growth + Lag(Dummy_Fiscal_Country) + Lag(Dummy_Fiscal_EU) + Lag(Dummy_Monetary_ECB) + Lag(Dummy_Monetary_Fed),
                                      method="pooling", effect="twoways",
                                      data=panel_inCOVID_small, na.action="na.exclude")
se.new_CDS.mortality.4.small <- coeftest(new_CDS.mortality.4.small, vcov = vcovHC(new_CDS.mortality.4.small, type = "HC1"))

stargazer(digits=4,new_CDS.mortality.0.small,new_CDS.mortality.2.small,new_CDS.mortality.3.small,new_CDS.mortality.4.small,
          type="html",se=list(se.new_CDS.mortality.0.small[,2],se.new_CDS.mortality.2.small[,2],se.new_CDS.mortality.3.small[,2],se.new_CDS.mortality.4.small[,2]),out=file.path("Table_inCOVID_panel_output_newCDS_mortality_small.htm"),
          dep.var.labels=c("Daily CDS Spread Change"),
          covariate.labels=c("Fitted Daily CDS Spread Change", "New Mortality Rate", "New Mortality Rate Growth", 
                             "Total Mortality Rate", "Total Mortality Rate Growth",
                             "Mobility", "SI Growth",
                             "Country Fiscal Policy Dummy", "EU Fiscal Policy Dummy", "ECB Policy Dummy", "Fed Policy Dummy"), df = FALSE, omit.stat="adj.rsq", 
                             notes = c("*,**,*** correspond to 10%, 5% and 1% significance, respectively.","HAC robust standard errors, clustered by country. Time and Country FEs."),
                             notes.append=F, notes.align ="l",
                             title="COVID-Sample Panel Analysis",add.lines = list(c("Fixed effects?","Y","Y","Y","Y","Y")))

EZ aggregate: realized values versus model-implied values

panel_inCOVID_CDS_5y_Prediction_New <- cbind(as.vector(new_CDS.mortality.4$model[[1]]-new_CDS.mortality.4$residuals), attr(new_CDS.mortality.4$model[[1]], "index"))
colnames(panel_inCOVID_CDS_5y_Prediction_New)[1] <- c("CDS_5y_Prediction_New")
  
panel_inCOVID_CDS_5y_Prediction_New$Date <- as.Date(panel_inCOVID_CDS_5y_Prediction_New$Date,"%Y-%m-%d")
panel_inCOVID_small <- merge(panel_inCOVID_CDS_5y_Prediction_New, panel_inCOVID, by = c("Country", "Date"), all.x = TRUE)

panel_inCOVID_EZ_prediction <- aggregate(CDS_5y_Prediction ~ Date, panel_inCOVID_small, mean)
panel_inCOVID_EZ_actual <- aggregate(CDS_5y_Actual ~ Date, panel_inCOVID_small, mean)
panel_inCOVID_EZ_prediction_new <- aggregate(CDS_5y_Prediction_New ~ Date, panel_inCOVID_small, mean)

panel_inCOVID_EZ <- merge(panel_inCOVID_EZ_prediction_new, panel_inCOVID_EZ_prediction, by = c("Date"), all.x = TRUE)
panel_inCOVID_EZ <- merge(panel_inCOVID_EZ, panel_inCOVID_EZ_actual, by = c("Date"), all.x = TRUE)

p_EZ_Mar_New <- ggplot(dat = panel_inCOVID_EZ,aes(x=Date,y=CDS_5y_Actual,linetype = "Actual"))+geom_line()+geom_line(aes(y=CDS_5y_Prediction, linetype="Fitted by model [1]"))+
  geom_line()+geom_line(aes(y=CDS_5y_Prediction_New,linetype="Fitted by model [4]"))+theme_bw()+xlab("")+ylab("Daily Change (Log CDS)")+
  ggtitle("Eurozone Average CDS Spreads, March 2020")+
  theme(axis.title.y = element_text(size = 12), axis.text = element_text(size = 10), legend.title = element_blank(),legend.position = c(0.8, 0.8))

p_EZ_Mar_New